9 CTX_DOC Package

The CTX_DOC PL/SQL package provides procedures and functions for requesting document services, such as highlighting extracted text or generating a list of themes for a document.

The CTX_DOC package includes the following procedures and functions:

Name Description

FILTER

Generates a plain text or HTML version of a document.

GIST

Generates a Gist or theme summaries for a document.

HIGHLIGHT

Generates plain text or HTML highlighting offset information for a document.

IFILTER

Generates a plain text version of binary data. Can be called from a USER_DATASTORE procedure.

MARKUP

Generates a plain text or HTML version of a document with query terms highlighted.

PKENCODE

Encodes a composite textkey string (value) for use in other CTX_DOC procedures.

POLICY_FILTER

Generates a plain text or HTML version of a document, without requiring an index.

POLICY_GIST

Generates a Gist or theme summaries for a document, without requiring an index.

POLICY_HIGHLIGHT

Generates plain text or HTML highlighting offset information for a document, without requiring an index.

POLICY_LANGUAGES

Provides the ability to fetch the language for a section of text.

POLICY_MARKUP

Generates a plain text or HTML version of a document with query terms highlighted, without requiring an index.

POLICY_NOUN_PHRASES

Extracts noun phrases for a document.

POLICY_PART_OF_SPEECH

Extracts the part of speech for each word in a document.

POLICY_SNIPPET

Generates a concordance for a document, based on query terms, without requiring an index.

POLICY_STEMS

Extracts stems for each word in a body of text.

POLICY_THEMES

Generates a list of themes for a document, without requiring an index.

POLICY_TOKENS

Generates all index tokens for a document, without requiring an index.

SENTIMENT

Performs sentiment analysis for a single document and provides a separate sentiment score for each segment within the document.

SENTIMENT_AGGREGATE

Performs sentiment analysis for a single document and provides an aggregate sentiment score for the entire document.

SET_KEY_TYPE

Sets CTX_DOC procedures to accept rowid or primary key document identifiers.

SNIPPET

Generates a concordance for a document, based on query terms.

THEMES

Generates a list of themes for a document.

TOKENS

Generates all index tokens for a document.

The performance of the procedures SNIPPET, HIGHLIGHT, and MARKUP can be improved by using the forward index feature, and the performance of the procedures FILTER, GIST, THEMES. TOKENS can be improved by using the save copy feature of Oracle Text.

See Also:

Oracle Text Application Developer's Guide for more information about forward index and save copy features

9.1 About CTX_DOC Package Procedures

Many of the CTX_DOC PL/SQL package procedures exist in two versions: those that make use of indexes, and those that do not. Those that do not make use of indexes are called "policy-based" procedures. They are offered because there are times when you may want to use document services on a single document without creating a CONTEXT index in advance. Policy-based procedures enable you to do this.

The policy_* procedures mirror the conventional in-memory document services and are used with policy_name replacing index_ name, and document of type VARCHAR2, CLOB, BLOB, or BFILE replacing textkey. Thus, you need not create an index to obtain document services output with these procedures.

For the procedures that generate character offsets and lengths, such as HIGHLIGHT and TOKENS, Oracle Text follows USC-2 codepoint semantics.

Note:

The APIs in the CTX_DOC package do not support identifiers that are prefixed with the schema or the owner name.

9.2 FILTER

Use the CTX_DOC.FILTER procedure to generate either a plain text or HTML version of a document.

You can store the rendered document in either a result table or in memory. This procedure is generally called after a query, from which you identify the document to be filtered.

Note:

The resultant HTML document does not include graphics.

Syntax 1: In-memory Result Storage

exec CTX_DOC.FILTER(
          index_name  IN VARCHAR2, 
          textkey     IN VARCHAR2, 
          restab      IN OUT NOCOPY CLOB, 
          plaintext   IN BOOLEAN DEFAULT FALSE,
          use_saved_copy IN NUMBER DEFAULT CTX_DOC.SAVE_COPY_FALLBACK);

Syntax 2: Result Table Storage

exec CTX_DOC.FILTER(
          index_name  IN VARCHAR2, 
          textkey     IN VARCHAR2, 
          restab      IN VARCHAR2, 
          query_id    IN NUMBER DEFAULT 0,
          plaintext   IN BOOLEAN DEFAULT FALSE,
          use_saved_copy IN NUMBER DEFAULT CTX_DOC.SAVE_COPY_FALLBACK);
index_name

Specify the name of the index associated with the text column containing the document identified by textkey.

textkey

Specify the unique identifier (usually the primary key) for the document.

The textkey parameter can be as follows:

  • a single column primary key value

  • encoded specification for a composite (multiple column) primary key. Use CTX_DOC.PKENCODE

  • the rowid of the row containing the document

Toggle between primary key and rowid identification using CTX_DOC.SET_KEY_TYPE.

restab

You can specify that this procedure store the marked-up text to either a table or to an in-memory CLOB.

To store results to a table, specify the name of the table. The table to which you want to store results must exist before you make this call.

See Also:

"Filter Table" in Oracle Text Result Tables for more information about the structure of the filter result table

To store results in memory, specify the name of the CLOB locator. If restab is NULL, then a temporary CLOB is allocated and returned. You must de-allocate the locator after using it with DBMS_LOB.FREETEMPORARY().

If restab is not NULL, then the CLOB is truncated before the operation.

query_id

Specify an identifier to use to identify the row inserted into restab.

When query_id is not specified or set to NULL, it defaults to 0. You must manually truncate the table specified in restab.

plaintext

Specify TRUE to generate a plaintext version of the document. Specify FALSE to generate an HTML version of the document if you are using the AUTO_FILTER filter or indexing HTML documents.

use_saved_copy

Specify whether to refer to the $D table to fetch the copy of the document, and what action to take when the copy of the document is not available in the $D table.

You can specify one of the following values for the use_saved_copy parameter:
  • CTX_DOC.SAVE_COPY_FALLBACK: Fetch the copy of the document from the $D table. If the copy of the document is not present in the $D table, then fetch the document from the datastore.

  • CTX_DOC.SAVE_COPY_ERROR: Fetch the copy of the document from the $D table. If the SAVE_COPY option of the index is set to none and the document is not present in the $D table, then show the CTX_DOC.SAVE_COPY_ERROR error. If the SAVE_COPY option of the index is set to plaintext or filtered and the document is not present in the $D table, then show the nodoc_err error. If the document is present in the $D table, then retrieve the document from the datastore.

  • CTX_DOC.SAVE_COPY_IGNORE: Always fetch the document from the datastore.

The default value is CTX_DOC.SAVE_COPY_FALLBACK.

Example

In-Memory Filter

The following code shows how to filter a document to HTML in memory.

declare
mklob clob;
amt number := 40;
line varchar2(80);

begin
 ctx_doc.filter('myindex','1', mklob, FALSE);
 -- mklob is NULL when passed-in, so ctx-doc.filter will allocate a temporary
 -- CLOB for us and place the results there.
 dbms_lob.read(mklob, amt, 1, line);
 dbms_output.put_line('FIRST 40 CHARS ARE:'||line);
 -- have to de-allocate the temp lob
 dbms_lob.freetemporary(mklob);
 end;

Create the filter result table to store the filtered document as follows:

create table filtertab (query_id  number,   
                        document  clob); 

To obtain a plaintext version of document with textkey 20, enter the following statement:

begin 
ctx_doc.filter('newsindex', '20', 'filtertab', '0', TRUE);
end;

9.3 GIST

Use the CTX_DOC.GIST procedure to generate gist and theme summaries for a document. You can generate paragraph-level or sentence-level gists or theme summaries.

Syntax 1: In-Memory Storage

CTX_DOC.GIST(
index_name    IN VARCHAR2, 
textkey       IN VARCHAR2, 
restab        IN OUT CLOB, 
glevel        IN VARCHAR2 DEFAULT 'P',
pov           IN VARCHAR2 DEFAULT 'GENERIC',
numParagraphs IN NUMBER DEFAULT 16,
maxPercent    IN NUMBER DEFAULT 10,
num_themes    IN NUMBER DEFAULT 50,
use_saved_copy IN NUMBER DEFAULT CTX_DOC.SAVE_COPY_FALLBACK);

Syntax 2: Result Table Storage

CTX_DOC.GIST(
index_name    IN VARCHAR2, 
textkey       IN VARCHAR2, 
restab        IN VARCHAR2, 
query_id      IN NUMBER DEFAULT 0,
glevel        IN VARCHAR2 DEFAULT 'P',
pov           IN VARCHAR2 DEFAULT NULL,
numParagraphs IN NUMBER DEFAULT 16,
maxPercent    IN NUMBER DEFAULT 10,
num_themes    IN NUMBER DEFAULT 50,
use_saved_copy IN NUMBER DEFAULT CTX_DOC.SAVE_COPY_FALLBACK);
index_name

Specify the name of the index associated with the text column containing the document identified by textkey.

textkey

Specify the unique identifier (usually the primary key) for the document.

The textkey parameter can be as follows:

  • a single column primary key value

  • an encoded specification for a composite (multiple column) primary key. To encode a composite textkey, use the CTX_DOC.PKENCODE procedure

  • the rowid of the row containing the document

Toggle between primary key and rowid identification using CTX_DOC.SET_KEY_TYPE.

restab

Specify that this procedure store the gist and theme summaries to either a table or to an in-memory CLOB.

To store results to a table specify the name of an existing table.

To store results in memory, specify the name of the CLOB locator. If restab is NULL, then a temporary CLOB is allocated and returned. You must de-allocate the locator after using it.

If restab is not NULL, then the CLOB is truncated before the operation.

query_id

Specify an identifier to use to identify the row(s) inserted into restab.

glevel

Specify the type of gist or theme summary to produce. The possible values are:

  • P for paragraph

  • S for sentence

The default is P.

pov

Specify whether a gist or a single theme summary is generated. The type of gist or theme summary generated (sentence-level or paragraph-level) depends on the value specified for glevel.

To generate a gist for the entire document, specify a value of 'GENERIC' for pov. To generate a theme summary for a single theme in a document, specify the theme as the value for pov.

When using result table storage, if you do not specify a value for pov, then this procedure returns the generic gist plus up to 50 theme summaries for the document.

When using in-memory result storage to a CLOB, you must specify a pov. However, if you do not specify a pov, then this procedure generates only a generic gist for the document.

Note:

The pov parameter is case sensitive. To return a gist for a document, specify 'GENERIC' in all uppercase. To return a theme summary, specify the theme exactly as it is generated for the document.

Only the themes generated by THEMES for a document can be used as input for pov.

numParagraphs

Specify the maximum number of document paragraphs (or sentences) selected for the document gist or theme summaries. The default is 16.

Note:

The numParagraphs parameter is used only when this parameter yields a smaller gist or theme summary size than the gist or theme summary size yielded by the maxPercent parameter.

This means that the system always returns the smallest size gist or theme summary.

maxPercent

Specify the maximum number of document paragraphs (or sentences) selected for the document gist or theme summaries as a percentage of the total paragraphs (or sentences) in the document. The default is 10.

Note:

The maxPercent parameter is used only when this parameter yields a smaller gist or theme summary size than the gist or theme summary size yielded by the numParagraphs parameter.

This means that the system always returns the smallest size gist or theme summary.

num_themes

Specify the number of theme summaries to produce when you do not specify a value for pov. For example, if you specify 10, this procedure returns the top 10 theme summaries. The default is 50.

If you specify 0 or NULL, then this procedure returns all themes in a document. If the document contains more than 50 themes, only the top 50 themes show conceptual hierarchy.

use_saved_copy

Specify whether to refer to the $D table to fetch the copy of the document, and what action to take when the copy of the document is not available in the $D table.

You can specify one of the following values for the use_saved_copy parameter:

  • CTX_DOC.SAVE_COPY_FALLBACK: Fetch the copy of the document from the $D table. If the copy of the document is not present in the $D table, then fetch the document from the data store.

  • CTX_DOC.SAVE_COPY_ERROR: Fetch the copy of the document from the $D table. If the copy of the document is not present in the $D table, then show an error message. Specify this value when you want to implement a specific fallback logic when the copy of the document is not available in the $D table.

  • CTX_DOC.SAVE_COPY_IGNORE: Always fetch the document from the data store.

The default value is CTX_DOC.SAVE_COPY_FALLBACK.

Examples

In-Memory Gist

The following example generates a non-default size generic gist of at most 10 paragraphs. The result is stored in memory in a CLOB locator. The code then de-allocates the returned CLOB locator after using it.

set serveroutput on;
declare
  gklob clob;
  amt number := 40;
  line varchar2(80);

begin
 ctx_doc.gist('newsindex','34',gklob, pov => 'GENERIC',numParagraphs => 10);
  -- gklob is NULL when passed-in, so ctx-doc.gist will allocate a temporary
  -- CLOB for us and place the results there.
  
  dbms_lob.read(gklob, amt, 1, line);
  dbms_output.put_line('FIRST 40 CHARS ARE:'||line);
  -- have to de-allocate the temp lob
  dbms_lob.freetemporary(gklob);
 end;

Result Table Gists

The following example creates a gist table called CTX_GIST:

create table CTX_GIST (query_id  number,
                       pov       varchar2(80),
                       gist      CLOB);

Gists and Theme Summaries

The following example returns a default sized paragraph-level gist for document 34 as well as the top 10 theme summaries in the document:

begin
   ctx_doc.gist('newsindex','34','CTX_GIST', 1, num_themes=>10);
end;

The following example generates a non-default size gist of at most 10 paragraphs:

begin
  ctx_doc.gist('newsindex','34','CTX_GIST',1,pov =>'GENERIC',numParagraphs=>10);
end;

The following example generates a gist whose number of paragraphs is at most 10 percent of the total paragraphs in document:

begin 
  ctx_doc.gist('newsindex','34','CTX_GIST',1,pov => 'GENERIC',  maxPercent => 10);
end;

Theme Summary

The following example returns a paragraph-level theme summary for insects for document 34. The default theme summary size is returned.

begin
   ctx_doc.gist('newsindex','34','CTX_GIST',1, pov => 'insects');
end;

9.4 HIGHLIGHT

Use the CTX_DOC.HIGHLIGHT procedure to generate highlight offsets for a document. The offset information is generated for the terms in the document that satisfy the query you specify. These highlighted terms are either the words that satisfy a word query or the themes that satisfy an ABOUT query.

You can generate highlight offsets for either plaintext or HTML versions of the document. The table returned by CTX_DOC.HIGHLIGHT does not include any graphics found in the original document. Apply the offset information to the same documents filtered with CTX_DOC.FILTER .

You usually call this procedure after a query, from which you identify the document to be processed. You can store the highlight offsets to either an in-memory PL/SQL table or a result table.

Note that for queries that have predicates used mainly for filtering documents at query time, the predicates are ignored during highlighting. This applies to SNIPPET, MARKUP and HIGHLIGHT procedures. The following predicates are treated as filter predicates for this purpose: SDATA, HASPATH, and WITHIN/INPATH searching inside XML attributes.

See CTX_DOC.POLICY_HIGHLIGHT for a version of this procedure that does not require an index.

The performance of the procedures SNIPPET, HIGHLIGHT, and MARKUP can be improved by using the forward index feature of Oracle Text.

See Also:

Oracle Text Application Developer's Guide for more information about forward index

Syntax 1: In-Memory Result Storage

exec CTX_DOC.HIGHLIGHT(
        index_name  IN VARCHAR2,
        textkey     IN VARCHAR2,
        text_query  IN VARCHAR2,
        restab      IN OUT NOCOPY HIGHLIGHT_TAB,
        plaintext   IN BOOLEAN  DEFAULT FALSE,
        use_saved_copy IN NUMBER DEFAULT CTX_DOC.SAVE_COPY_FALLBACK);

exec CTX_DOC.HIGHLIGHT_CLOB_QUERY(
        index_name  IN VARCHAR2,
        textkey     IN VARCHAR2,
        text_query  IN CLOB,
        restab      IN OUT NOCOPY HIGHLIGHT_TAB,
        plaintext   IN BOOLEAN DEFAULT FALSE,
        use_saved_copy IN NUMBER DEFAULT CTX_DOC.SAVE_COPY_FALLBACK);

Syntax 2: Result Table Storage

exec CTX_DOC.HIGHLIGHT(
          index_name  IN VARCHAR2, 
          textkey     IN VARCHAR2, 
          text_query  IN VARCHAR2, 
          restab      IN VARCHAR2, 
          query_id    IN NUMBER   DEFAULT 0,
          plaintext   IN BOOLEAN  DEFAULT FALSE,
          use_saved_copy IN NUMBER DEFAULT CTX_DOC.SAVE_COPY_FALLBACK);

exec CTX_DOC.HIGHLIGHT_CLOB_QUERY(
          index_name  IN VARCHAR2,
          textkey     IN VARCHAR2,
          text_query  IN CLOB,
          restab      IN VARCHAR2,
          query_id    IN NUMBER DEFAULT 0,
          plaintext   IN BOOLEAN DEFAULT FALSE,
          use_saved_copy IN NUMBER DEFAULT CTX_DOC.SAVE_COPY_FALLBACK);
index_name

Specify the name of the index associated with the text column containing the document identified by textkey.

textkey

Specify the unique identifier (usually the primary key) for the document.

The textkey parameter can be as follows:

  • a single column primary key value

  • encoded specification for a composite (multiple column) primary key. Use the CTX_DOC.PKENCODE procedure.

  • the rowid of the row containing the document

Toggle between primary key and rowid identification using CTX_DOC.SET_KEY_TYPE.

text_query

Specify the original query expression used to retrieve the document. If NULL, no highlights are generated.

If text_query includes wildcards, stemming, fuzzy matching which result in stopwords being returned, HIGHLIGHT does not highlight the stopwords.

If text_query contains the threshold operator, the operator is ignored. The HIGHLIGHT procedure always returns highlight information for the entire result set.

restab

You can specify that this procedure store highlight offsets to either a table or to an in-memory PL/SQL table.

To store results to a table specify the name of the table. The table must exist before you call this procedure.

See Also:

"Highlight Table" in Oracle Text Result Tables for more information about the structure of the highlight result table.

To store results to an in-memory table, specify the name of the in-memory table of type CTX_DOC.HIGHLIGHT_TAB. The HIGHLIGHT_TAB datatype is defined as follows:

type highlight_rec is record (
  offset number,
  length number
);
type highlight_tab is table of highlight_rec index by binary_integer;

CTX_DOC.HIGHLIGHT clears HIGHLIGHT_TAB before the operation.

query_id

Specify the identifier used to identify the row inserted into restab. When query_id is not specified or set to NULL, it defaults to 0. You must manually truncate the table specified in restab.

plaintext

Specify TRUE to generate a plaintext offsets of the document. Specify FALSE to generate HTML offsets of the document if you are using the AUTO_FILTER filter or indexing HTML documents.

use_saved_copy

Specify whether to refer to the $D table to fetch the copy of the document, and what action to take when the copy of the document is not available in the $D table. The default value is CTX_DOC.SAVE_COPY_FALLBACK.

You can specify one of the following values for the use_saved_copy parameter:

  • CTX_DOC.SAVE_COPY_FALLBACK: Fetch the copy of the document from the $D table. If the copy of the document is not present in the $D table, then fetch the document from the data store.

  • CTX_DOC.SAVE_COPY_ERROR: Fetch the copy of the document from the $D table. If the copy of the document is not present in the $D table, then show an error message. Specify this value when you want to implement a specific fallback logic when the copy of the document is not available in the $D table.

  • CTX_DOC.SAVE_COPY_IGNORE: Always fetch the document from the data store.

Examples

Create Highlight Table

Create the highlight table to store the highlight offset information:

create table hightab(query_id number, 
                     offset number, 
                     length number);

Word Highlighting in the Presence of Filters

When performing highlight on queries such as the following, only the keyword ("dog" in these examples) will be highlighted. The filtering predicates after the AND operator will be ignored.

begin
ctx_doc.highlight('newsindex', '20', 'dog AND cat WITHIN titlesection@name', 'hightab', 0, FALSE);
end;
begin
ctx_doc.highlight('newsindex', '20', 'dog AND SDATA(price > 100)', 'hightab', 0, FALSE);
end;

Word Highlight Offsets

To obtain HTML highlight offset information for document 20 for the word dog:

begin
ctx_doc.highlight('newsindex', '20', 'dog', 'hightab', 0, FALSE);
end;

begin
ctx_doc.highlight('newsindex', '20', 'dog AND cat WITHIN titlesection', 'hightab', 0, FALSE);
end;

Theme Highlight Offsets

Assuming the index newsindex has a theme component, obtain HTML highlight offset information for the theme query of politics by issuing the following query:

begin
ctx_doc.highlight('newsindex', '20', 'about(politics)', 'hightab', 0, FALSE);
end;

The output for this statement are the offsets to highlighted words and phrases that represent the theme of politics in the document.

Restrictions

CTX_DOC.HIGHLIGHT does not support the use of query templates or highlighting XML attribute values.

Related Topics

"POLICY_HIGHLIGHT"

"MARKUP "

"SNIPPET"

9.5 IFILTER

Use this procedure to filter binary data to text.

This procedure takes binary data (BLOB IN), filters the data with the AUTO_FILTER filter, and writes the text version to a CLOB. (Any graphics in the original document are ignored.) CTX_DOC.IFILTER employs the safe callout, and it does not require an index, as CTX_DOC.FILTER does.

Note:

This procedure will not be supported in future releases. Applications should use CTX_DOC.POLICY_FILTER instead.

Requirements

Because CTX_DOC.IFILTER employs the safe callout mechanism, the SQL*Net listener must be running and configured for extproc agent startup.

Syntax

CTX_DOC.IFILTER(data IN BLOB, text IN OUT NOCOPY CLOB);
data

Specify the binary data to be filtered.

text

Specify the destination CLOB. The filtered data is placed in here. This parameter must be a valid CLOB locator that is writable. Passing NULL or a non-writable CLOB will result in an error. Filtered text will be appended to the end of existing content, if any.

Example

The document text used in a MATCHES query can be VARCHAR2 or CLOB. It does not accept BLOB input, so you cannot match filtered documents directly. Instead, you must filter the binary content to CLOB using the AUTO_FILTER filter. Assuming the document data is in bind variable :doc_blob:

  declare
    doc_text clob;
  begin
    -- create a temporary CLOB to hold the document text
    dbms_lob.createtemporary(doc_text, TRUE, DBMS_LOB.SESSION);

    -- call ctx_doc.ifilter to filter the BLOB to CLOB data
    ctx_doc.ifilter(:doc_blob, doc_text);

    -- now do the matches query using the CLOB version
    for c1 in (select * from queries where matches(query_string, doc_text)>0)
    loop
      -- do what you need to do here
    end loop;

    dbms_lob.freetemporary(doc_text);
  end;

9.6 MARKUP

The CTX_DOC.MARKUP procedure takes a query specification and a document textkey and returns a version of the document in which the query terms are marked up. These marked-up terms are either the words that satisfy a word query or the themes that satisfy an ABOUT query.

You can set the marked-up output to be either plaintext or HTML. The marked-up document returned by CTX_DOC.MARKUP does not include any graphics found in the original document.

You can use one of the predefined tag sets for marking highlighted terms, including a tag sequence that enables HTML navigation.

You usually call CTX_DOC.MARKUP after a query, from which you identify the document to be processed.

You can store the marked-up document either in memory or in a result table.

Note that for queries that have predicates used mainly for filtering documents at query time, the predicates are ignored during MARKUP. The following predicates are treated as filter predicates for this purpose: SDATA, HASPATH, and WITHIN/INPATH searching inside XML attributes.

See CTX_DOC.POLICY_MARKUP for a version of this procedure that does not require an index.

The performance of the procedures SNIPPET, HIGHLIGHT, and MARKUP can be improved by using the forward index feature of Oracle Text.

See Also:

Oracle Text Application Developer's Guide for more information about forward index

Note:

Oracle Text does not guarantee well-formed output from CTX.DOC.MARKUP, especially for terms that are already marked up with HTML or XML. In particular, unexpected nesting of markup tags may occasionally result.

Syntax 1: In-Memory Result Storage

exec CTX_DOC.MARKUP( 
index_name     IN VARCHAR2, 
textkey        IN VARCHAR2, 
text_query     IN VARCHAR2, 
restab         IN OUT NOCOPY CLOB, 
plaintext      IN BOOLEAN   DEFAULT FALSE, 
tagset         IN VARCHAR2  DEFAULT 'TEXT_DEFAULT', 
starttag       IN VARCHAR2  DEFAULT NULL, 
endtag         IN VARCHAR2  DEFAULT NULL, 
prevtag        IN VARCHAR2  DEFAULT NULL, 
nexttag        IN VARCHAR2  DEFAULT NULL,
use_saved_copy IN NUMBER DEFAULT CTX_DOC.SAVE_COPY_FALLBACK);

exec CTX_DOC.MARKUP_CLOB_QUERY(
index_name     IN VARCHAR2,
textkey        IN VARCHAR2,
text_query     IN CLOB,
restab         IN OUT NOCOPY CLOB,
plaintext      IN BOOLEAN DEFAULT FALSE,
tagset         IN VARCHAR2 DEFAULT 'TEXT_DEFAULT',
starttag       IN VARCHAR2 DEFAULT NULL,
endtag         IN VARCHAR2 DEFAULT NULL,
prevtag        IN VARCHAR2 DEFAULT NULL,
nexttag        IN VARCHAR2 DEFAULT NULL,
use_saved_copy IN NUMBER DEFAULT CTX_DOC.SAVE_COPY_FALLBACK);

Syntax 2: Result Table Storage

exec CTX_DOC.MARKUP( 
index_name     IN VARCHAR2, 
textkey        IN VARCHAR2, 
text_query     IN VARCHAR2, 
restab         IN VARCHAR2, 
query_id       IN NUMBER    DEFAULT 0,  
plaintext      IN BOOLEAN   DEFAULT FALSE, 
tagset         IN VARCHAR2  DEFAULT 'TEXT_DEFAULT', 
starttag       IN VARCHAR2  DEFAULT NULL, 
endtag         IN VARCHAR2  DEFAULT NULL, 
prevtag        IN VARCHAR2  DEFAULT NULL, 
nexttag        IN VARCHAR2  DEFAULT NULL,
use_saved_copy IN NUMBER DEFAULT CTX_DOC.SAVE_COPY_FALLBACK);

exec CTX_DOC.MARKUP_CLOB_QUERY(
index_name     IN VARCHAR2,
textkey        IN CLOB,
text_query     IN VARCHAR2,
restab         IN VARCHAR2,
query_id       IN NUMBER DEFAULT 0,
plaintext      IN BOOLEAN DEFAULT FALSE,
tagset         IN VARCHAR2 DEFAULT 'TEXT_DEFAULT',
starttag       IN VARCHAR2 DEFAULT NULL,
endtag         IN VARCHAR2 DEFAULT NULL,
prevtag        IN VARCHAR2 DEFAULT NULL,
nexttag        IN VARCHAR2 DEFAULT NULL,
use_saved_copy IN NUMBER DEFAULT CTX_DOC.SAVE_COPY_FALLBACK);
index_name

Specify the name of the index associated with the text column containing the document identified by textkey.

textkey

Specify the unique identifier (usually the primary key) for the document.

The textkey parameter can be as follows:

  • A single column primary key value

  • Encoded specification for a composite (multiple column) primary key. Use the CTX_DOC.PKENCODE procedure.

  • The rowid of the row containing the document

Toggle between primary key and rowid identification using CTX_DOC.SET_KEY_TYPE.

text_query

Specify the original query expression used to retrieve the document.

If text_query includes wildcards, stemming, fuzzy matching which result in stopwords being returned, MARKUP does not highlight the stopwords.

If text_query contains the threshold operator, the operator is ignored. The MARKUP procedure always returns highlight information for the entire result set.

restab

You can specify that this procedure store the marked-up text to either a table or to an in-memory CLOB.

To store results to a table specify the name of the table. The result table must exist before you call this procedure.

See Also:

For more information about the structure of the markup result table, see "Markup Table" in Oracle Text Result Tables.

To store results in memory, specify the name of the CLOB locator. If restab is NULL, a temporary CLOB is allocated and returned. You must de-allocate the locator after using it.

If restab is not NULL, the CLOB is truncated before the operation.

query_id

Specify the identifier used to identify the row inserted into restab.

When query_id is not specified or set to NULL, it defaults to 0. You must manually truncate the table specified in restab.

plaintext

Specify TRUE to generate plaintext marked-up document. Specify FALSE to generate a marked-up HTML version of document if you are using the AUTO_FILTER filter or indexing HTML documents.

tagset

Specify one of the following predefined tag sets. The second and third columns show how the different tags are defined for each tagset:

Tagset Tag Tag Value

TEXT_DEFAULT

starttag

<<<

TEXT_DEFAULT

endtag

>>>

HTML_DEFAULT

starttag

<B>

HTML_DEFAULT

endtag

</B>

HTML_NAVIGATE

starttag

<A NAME=ctx%CURNUM><B>

HTML_NAVIGATE

endtag

</B></A>

HTML_NAVIGATE

prevtag

<A HREF=#ctx%PREVNUM>&lt;</A>

HTML_NAVIGATE

nexttag

<A HREF=#ctx%NEXTNUM>&gt;</A>

starttag

Specify the character(s) inserted by MARKUP to indicate the start of a highlighted term.

The sequence of starttag, endtag, prevtag and nexttag with respect to the highlighted word is as follows:

... prevtag starttag word endtag nexttag...
endtag

Specify the character(s) inserted by MARKUP to indicate the end of a highlighted term.

prevtag

Specify the markup sequence that defines the tag that navigates the user to the previous highlight.

In the markup sequences prevtag and nexttag, you can specify the following offset variables which are set dynamically:

Offset Variable Value

%CURNUM

the current offset number

%PREVNUM

the previous offset number

%NEXTNUM

the next offset number

See the description of the HTML_NAVIGATE ""tagset"" for an example.

nexttag

Specify the markup sequence that defines the tag that navigates the user to the next highlight tag.

Within the markup sequence, you can use the same offset variables you use for prevtag. See the explanation for ""prevtag"" and the HTML_NAVIGATE ""tagset"" for an example.

use_saved_copy

Specify whether to refer to the $D table to fetch the copy of the document, and what action to take when the copy of the document is not available in the $D table.

You can specify one of the following values for the use_saved_copy parameter:

  • CTX_DOC.SAVE_COPY_FALLBACK: Fetch the copy of the document from the $D table. If the copy of the document is not present in the $D table, then fetch the document from the data store.

  • CTX_DOC.SAVE_COPY_ERROR: Fetch the copy of the document from the $D table. If the copy of the document is not present in the $D table, then show an error message. Specify this value when you want to implement a specific fallback logic when the copy of the document is not available in the $D table.

  • CTX_DOC.SAVE_COPY_IGNORE: Always fetch the document from the data store.

The default value is CTX_DOC.SAVE_COPY_FALLBACK.

Examples

In-Memory Markup

The following code takes document (the dog chases the cat), performs the assigned markup on it, and stores the result in memory.

set serveroutput on
 
drop table mark_tab;
create table mark_tab (id number primary key, text varchar2(80) );
insert into mark_tab values ('1', 'The dog chases the cat.');
 
create index mark_tab_idx on mark_tab(text)
        indextype is ctxsys.context parameters
        ('filter ctxsys.null_filter');
 
declare
mklob clob;
amt number := 40;
line varchar2(80);
 
begin
 ctx_doc.markup('mark_tab_idx','1','dog AND cat', mklob);
 -- mklob is NULL when passed-in, so ctx_doc.markup will
 -- allocate a temporary CLOB for us and place the results there.
 dbms_lob.read(mklob, amt, 1, line);
 dbms_output.put_line('FIRST 40 CHARS ARE:'||line);
 -- have to de-allocate the temp lob
 dbms_lob.freetemporary(mklob);
 end;
/

The output from this example shows what the marked-up document looks like:

FIRST 40 CHARS ARE:  The <<<dog>>> chases the <<<cat>>>.

Markup Table

Create the highlight markup table to store the marked-up document as follows:

create table markuptab (query_id  number,   
                        document  clob); 

Word Highlighting in HTML

You can also store your MARKUP results in a table. To create HTML highlight markup for the words dog or cat for document 23, enter the following examples:

begin
  ctx_doc.markup(index_name => 'my_index',
                      textkey => '23',
                      text_query => 'dog|cat',
                      restab => 'markuptab',
                      query_id => '1',
                      tagset => 'HTML_DEFAULT');
end;

begin
  ctx_doc.markup(index_name => 'my_index',
                      textkey => '23',
                      text_query => 'dog AND cat WITHIN titlesection@name',
                      restab => 'markuptab',
                      query_id => '1',
                      tagset => 'HTML_DEFAULT');
end;

Word Highlighting in the Presence of Filters

When performing markup on queries such as the following, only the keyword ("dog" in these examples) will be marked up. The filtering predicates after the AND operator will be ignored.

begin
  ctx_doc.markup(index_name => 'my_index',
                      textkey => '23',
                      text_query => 'dog AND cat WITHIN titlesection@name',
                      restab => 'markuptab',
                      query_id => '1',
                      tagset => 'HTML_DEFAULT');
end;

begin
  ctx_doc.markup(index_name => 'my_index',
                      textkey => '23',
                      text_query => 'dog AND SDATA(price > 100)',
                      restab => 'markuptab',
                      query_id => '1',
                      tagset => 'HTML_DEFAULT');
end;

Theme Highlighting in HTML

To create HTML highlight markup for the theme of politics for document 23, enter the following statement:

begin
  ctx_doc.markup(index_name => 'my_index',
                      textkey => '23',
                      text_query => 'about(politics)',
                      restab => 'markuptab',
                      query_id => '1',
                      tagset => 'HTML_DEFAULT');
end;

Restrictions

CTX_DOC.MARKUP does not support the use of query templates.

Related Topics

"POLICY_MARKUP"

"SNIPPET"

9.7 PKENCODE

The CTX_DOC.PKENCODE function converts a composite textkey list into a single string and returns the string.

The string created by PKENCODE can be used as the primary key parameter textkey in other CTX_DOC procedures, such as CTX_DOC.THEMES and CTX_DOC.GIST.

Syntax

CTX_DOC.PKENCODE(
         pk1    IN VARCHAR2,
         pk2    IN VARCHAR2 DEFAULT NULL, 
         pk4    IN VARCHAR2 DEFAULT NULL, 
         pk5    IN VARCHAR2 DEFAULT NULL, 
         pk6    IN VARCHAR2 DEFAULT NULL,
         pk7    IN VARCHAR2 DEFAULT NULL,
         pk8    IN VARCHAR2 DEFAULT NULL,
         pk9    IN VARCHAR2 DEFAULT NULL,
         pk10   IN VARCHAR2 DEFAULT NULL,
         pk11   IN VARCHAR2 DEFAULT NULL,
         pk12   IN VARCHAR2 DEFAULT NULL,
         pk13   IN VARCHAR2 DEFAULT NULL,
         pk14   IN VARCHAR2 DEFAULT NULL,
         pk15   IN VARCHAR2 DEFAULT NULL,
         pk16   IN VARCHAR2 DEFAULT NULL)
RETURN VARCHAR2;
pk1-pk16

Each PK argument specifies a column element in the composite textkey list. You can encode at most 16 column elements.

Returns

String that represents the encoded value of the composite textkey.

Example

begin 
ctx_doc.gist('newsindex',CTX_DOC.PKENCODE('smith', 14), 'CTX_GIST');
end;

In this example, smith and 14 constitute the composite textkey value for the document.

9.8 POLICY_FILTER

Generates a plain text or an HTML version of a document. With this procedure, no CONTEXT index is required.

This procedure uses a trusted callout.

Syntax

ctx_doc.policy_filter(policy_name    in  VARCHAR2,
                      document       in [VARCHAR2|CLOB|BLOB|BFILE],
                      restab         in out nocopy CLOB,
                      plaintext      in BOOLEAN default FALSE,
                      language       in VARCHAR2 default NULL,
                      format         in VARCHAR2 default NULL,
                      charset        in VARCHAR2 default NULL);
policy_name

Specify the policy name created with CTX_DDL.CREATE_POLICY.

document

Specify the document to filter.

restab

Specify the name of the CLOB locator.

plaintext

Specify TRUE to generate a plaintext version of the document. Specify FALSE to generate an HTML version of the document if you are using the AUTO_FILTER filter or indexing HTML documents.

language

Specify the language of the document. Use an Oracle Text supported language value as you would in the language column of the base table. See BASIC_LEXER in Oracle Text Indexing Elements.

format

Specify the format of the document. Use an Oracle Text supported format value, either TEXT, BINARY or IGNORE as you would specify in the format column of the base table. For more information, see the format column description in CREATE INDEX in Oracle Text SQL Statements and Operators .

charset

Specify the character set of the document. Use an Oracle Text supported value as you would specify in the charset column of the base table. See "Filter Types".

9.9 POLICY_GIST

Generates a gist or theme summary for document. You can generate paragraph-level or sentence-level gists or theme summaries. With this procedure, no CONTEXT index is required.

Syntax

ctx_doc.policy_gist(policy_name      in VARCHAR2,
                    document         in [VARCHAR2|CLOB|BLOB|BFILE],
                    restab           in out nocopy CLOB,
                    glevel           in VARCHAR2 default 'P',
                    pov              in VARCHAR2 default 'GENERIC',
                    numParagraphs    in NUMBER default NULL,
                    maxPercent       in NUMBER default NULL,
                    num_themes       in NUMBER default 50
                    language         in VARCHAR2 default NULL,
                    format           in VARCHAR2 default NULL,
                    charset          in VARCHAR2 default NULL
);
policy_name

Specify the policy name created with CTX_DDL.CREATE_POLICY.

document

Specify the document for which to generate the Gist or theme summary.

restab

Specify the name of the CLOB locator.

glevel

Specify the type of gist or theme summary to produce. The possible values are:

  • P for paragraph

  • S for sentence

The default is P.

pov

Specify whether a gist or a single theme summary is generated. The type of gist or theme summary generated (sentence-level or paragraph-level) depends on the value specified for glevel.

To generate a gist for the entire document, specify a value of 'GENERIC' for pov. To generate a theme summary for a single theme in a document, specify the theme as the value for pov.

When using result table storage and you do not specify a value for pov, this procedure returns the generic gist plus up to 50 theme summaries for the document.

Note:

The pov parameter is case sensitive. To return a gist for a document, specify 'GENERIC' in all uppercase. To return a theme summary, specify the theme exactly as it is generated for the document.

Only the themes generated by THEMES for a document can be used as input for pov.

numParagraphs

Specify the maximum number of document paragraphs (or sentences) selected for the document gist or theme summaries. The default is 16.

Note:

The numParagraphs parameter is used only when this parameter yields a smaller gist or theme summary size than the gist or theme summary size yielded by the maxPercent parameter.

This means that the system always returns the smallest size gist or theme summary.

maxPercent

Specify the maximum number of document paragraphs (or sentences) selected for the document gist or theme summaries as a percentage of the total paragraphs (or sentences) in the document. The default is 10.

Note:

The maxPercent parameter is used only when this parameter yields a smaller gist or theme summary size than the gist or theme summary size yielded by the numParagraphs parameter.

This means that the system always returns the smallest size gist or theme summary.

num_themes

Specify the number of theme summaries to produce when you do not specify a value for pov. For example, if you specify 10, this procedure returns the top 10 theme summaries. The default is 50.

If you specify 0 or NULL, this procedure returns all themes in a document. If the document contains more than 50 themes, only the top 50 themes show conceptual hierarchy.

language

Specify the language of the document. Use an Oracle Text supported language value as you would in the language column of the base table. See "MULTI_LEXER".

format

Specify the format of the document. Use an Oracle Text supported format value, either TEXT, BINARY or IGNORE as you would specify in the format column of the base table. For more information, see the format column description in "CREATE INDEX".

charset

Specify the character set of the document. Use an Oracle Text supported value as you would specify in the charset column of the base table.

9.10 POLICY_HIGHLIGHT

Generates plain text or HTML highlighting offset information for a document. With this procedure, no CONTEXT index is required.

The offset information is generated for the terms in the document that satisfy the query you specify. These highlighted terms are either the words that satisfy a word query or the themes that satisfy an ABOUT query.

You can generate highlight offsets for either plaintext or HTML versions of the document. You can apply the offset information to the same documents filtered with CTX_DOC.FILTER .

Syntax

exec ctx_doc.policy_highlight(
                         policy_name  in  VARCHAR2,
                         document     in  [VARCHAR2|CLOB|BLOB|BFILE],
                         text_query   in VARCHAR2,
                         restab       in out nocopy highlight_tab,
                         plaintext    in boolean FALSE
                         language     in VARCHAR2 default NULL,
                         format       in VARCHAR2 default NULL,
                         charset      in VARCHAR2 default NULL
);

exec ctx_doc.policy_highlight_clob_query(
                         policy_name  in VARCHAR2,
                         document     in [VARCHAR2|CLOB|BLOB|BFILE],
                         text_query   in CLOB,
                         restab       in out nocopy highlight_tab,
                         plaintext    in boolean FALSE
                         language     in VARCHAR2 default NULL,
                         format       in VARCHAR2 default NULL,
                         charset      in VARCHAR2 default NULL
);
policy_name

Specify the policy name created with CTX_DDL.CREATE_POLICY.

document

Specify the document to generate highlighting offset information.

text_query

Specify the original query expression used to retrieve the document. If NULL, no highlights are generated.

If text_query includes wildcards, stemming, or fuzzy matching which result in stopwords being returned, this procedure does not highlight the stopwords.

If text_query contains the threshold operator, the operator is ignored. This procedure always returns highlight information for the entire result set.

restab

Specify the name of the highlight_tab PL/SQL index-by-table type.

See Also:

"HIGHLIGHT " for more information about the structure of the highlight_tab table type

plaintext

Specify TRUE to generate a plaintext offsets of the document.

Specify FALSE to generate HTML offsets of the document if you are using the AUTO_FILTER filter or indexing HTML documents.

language

Specify the language of the document. Use an Oracle Text supported language value as you would in the language column of the base table. See "MULTI_LEXER" in Oracle Text Indexing Elements.

format

Specify the format of the document. Use an Oracle Text supported format value, either TEXT, BINARY or IGNORE as you would specify in the format column of the base table. For more information, see the format column description under "CREATE INDEX".

charset

Specify the character set of the document. Use an Oracle Text supported value as you would specify in the charset column of the base table.

Restrictions

CTX_DOC.POLICY_HIGHLIGHT does not support the use of query templates.

9.11 POLICY_LANGUAGES

Provides the ability to fetch the language for a section of text.

Returns a table of language descriptors and scores, where the score is the confidence level with which the system can assert that the supplied text is in the specific language.

Syntax

CTX_DOC.POLICY_LANGUAGES (
   policy_name    IN VARCHAR2 | CLOB,
   document       IN VARCHAR2,
   restab         IN OUT NOCOPY CTX_DOC.LANGUAGE_TAB
);
policy_name

A policy that was previously created using the CTX_DDL.CREATE_POLICY method. If the specified policy includes a sectioning preference, the API will honor the sectioning preference. For instance, if HTML sectioning is specified, then HTML tags will be removed before processing the input document.

document

A body of text for which the languages are to be extracted. The text is assumed to be plain text with UTF-8 character encoding.

restab

The result of the language extraction process. The result is a table of records. Each record has two attributes: the language string, and the score for each language string. The score can range from 0 to 100 and represents the confidence with which the system can assert that the supplied text is in the specified language. The resulting languages are returned in sorted order with the language with the most confidence appearing first.

The table layout for restab is similar to that for HIGHLIGHT.

See Also:

"HIGHLIGHT " for information on restab layout

Supported Languages for CTX_DOC.POLICY_LANGUAGES and POLICY_STEMS

Language extraction is supported for text in the languages supported by AUTO_LEXER. The supported languages for CTX_DOC.POLICY_LANGUAGES and CTX_DOC.POLICY_STEMS for this release are:

Arabic

Bokmal

Catalan

Croatian

Czech

Danish

Dutch

English

Finnish

French

German

Greek

Hebrew

Hungarian

Italian

Japanese

Korean

Polish

Nynorsk

Persian

Portuguese

Romanian

Russian

Serbian

Slovak

Slovenian

Simplified Chinese

Spanish

Swedish

Thai

Traditional Chinese

Turkish

Related Topics

"POLICY_STEMS"

"AUTO_LEXER"

9.12 POLICY_MARKUP

Generates plain text or HTML version of a document with query terms highlighted. With this procedure, no CONTEXT index is required.

The CTX_DOC.POLICY_MARKUP procedure takes a query specification and a document and returns a version of the document in which the query terms are marked up. These marked-up terms are either the words that satisfy a word query or the themes that satisfy an ABOUT query.

You can set the marked-up output to be either plaintext or HTML.

You can use one of the predefined tag sets for marking highlighted terms, including a tag sequence that enables HTML navigation.

Syntax

ctx_doc.policy_markup(policy_name     in VARCHAR2,
                      document        in [VARCHAR2|CLOB|BLOB|BFILE],
                      text_query      in VARCHAR2,
                      restab          in out nocopy CLOB,
                      plaintext       in BOOLEAN default FALSE,
                      tagset          in VARCHAR2 default 'TEXT_DEFAULT',
                      starttag        in VARCHAR2 default NULL,
                      endtag          in VARCHAR2 default NULL,
                      prevtag         in VARCHAR2 default NULL,
                      nexttag         in VARCHAR2 default NULL
                      language        in VARCHAR2 default NULL,
                      format          in VARCHAR2 default NULL,
                      charset         in VARCHAR2 default NULL
);

ctx_doc.policy_markup_clob_query(
                      policy_name     in VARCHAR2,
                      document        in [VARCHAR2|CLOB|BLOB|BFILE],
                      text_query      in CLOB,
                      restab          in out nocopy CLOB,
                      plaintext       in BOOLEAN default FALSE,
                      tagset          in VARCHAR2 default 'TEXT_DEFAULT',
                      starttag        in VARCHAR2 default NULL,
                      endtag          in VARCHAR2 default NULL,
                      prevtag         in VARCHAR2 default NULL,
                      nexttag         in VARCHAR2 default NULL
                      language        in VARCHAR2 default NULL,
                      format          in VARCHAR2 default NULL,
                      charset         in VARCHAR2 default NULL
);
policy_name

Specify the policy name created with CTX_DDL.CREATE_POLICY.

document

Specify the document to generate highlighting offset information.

text_query

Specify the original query expression used to retrieve the document.

If text_query includes a NULL, then this procedure will fail and generate errors.

If text_query includes wildcards, stemming, or fuzzy matching which result in stopwords being returned, then this procedure does not highlight the stopwords.

If text_query contains the threshold operator, the operator is ignored. This procedure always returns highlight information for the entire result set.

restab

Specify the name of the CLOB locator.

plaintext

Specify TRUE to generate a plaintext marked-up document. Specify FALSE to generate a marked-up HTML version of the document if you are using the AUTO_FILTER filter or indexing HTML documents.

tagset

Specify one of the following predefined tag sets. The second and third columns show how the different tags are defined for each tagset:

Tagset Tag Tag Value

TEXT_DEFAULT

starttag

<<<

TEXT_DEFAULT

endtag

>>>

HTML_DEFAULT

starttag

<B>

HTML_DEFAULT

endtag

</B>

HTML_NAVIGATE

starttag

<A NAME=ctx%CURNUM><B>

HTML_NAVIGATE

endtag

</B></A>

HTML_NAVIGATE

prevtag

<A HREF=#ctx%PREVNUM>&lt;</A>

HTML_NAVIGATE

nexttag

<A HREF=#ctx%NEXTNUM>&gt;</A>

starttag

Specify the character(s) inserted by MARKUP to indicate the start of a highlighted term.

The sequence of starttag, endtag, prevtag and nexttag with regard to the highlighted word is as follows:

... prevtag starttag word endtag nexttag...
endtag

Specify the character(s) inserted by MARKUP to indicate the end of a highlighted term.

prevtag

Specify the markup sequence that defines the tag that navigates the user to the previous highlight.

In the markup sequences prevtag and nexttag, you can specify the following offset variables which are set dynamically:

Offset Variable Value

%CURNUM

the current offset number

%PREVNUM

the previous offset number

%NEXTNUM

the next offset number

See the description of the HTML_NAVIGATE tagset for an example ""tagset"".

nexttag

Specify the markup sequence that defines the tag that navigates the user to the next highlight tag.

Within the markup sequence, you can use the same offset variables you use for prevtag. See the explanation for prevtag and the HTML_NAVIGATE ""tagset"" for an example.

language

Specify the language of the document. Use an Oracle Text supported language value as you would in the language column of the base table. See "MULTI_LEXER" in Oracle Text Indexing Elements.

format

Specify the format of the document. Use an Oracle Text supported format value, either TEXT, BINARY or IGNORE as you would specify in the format column of the base table. For more information, see the format column description in "CREATE INDEX".

charset

Specify the character set of the document. Use an Oracle Text supported value as you would specify in the charset column of the base table. See "Filter Types".

Restrictions

CTX_DOC.POLICY_MARKUP does not support the use of query templates.

9.13 POLICY_NOUN_PHRASES

Provides the ability to extract the noun phrases along with part-of-speech information for each word in each noun phrase from a given document.

For example, consider the following sentence:

"The mayor of Chicago is giving a brief press conference."

The noun phrases for this input are "mayor of Chicago" and "brief press conference." The subgroups in the input text are not returned. For instance, in the above example, subgroups such as "mayor,Chicago, brief press, press conference, press, conference" are not returned.

POLICY_NOUN_PHRASES (and POLICY_PART_OF_SPEECH) supports the following languages:
  • Dutch

  • English

  • German

  • French

  • Italian

  • Japanese

  • Korean

  • Simplified Chinese

  • Spanish

  • Traditional Chinese

Syntax

ctx_doc.policy_noun_phrases (
   policy_name    in varchar2,
   document       in varchar2 | CLOB,
   restab         in out nocopy noun_phrase_tab,
   language       in varchar2  default NULL,
   format         in varchar2  default NULL,
   charset        in varchar2  default NULL
);
policy_name

Specify the policy name created with CTX_DDL.CREATE_POLICY.

document

A body of text for which the languages are to be extracted. The text is assumed to be plain text with UTF-8 character encoding.

restab

Specify the name of the CLOB locator.

language

Specify the language. See the list of supported languages in this section. If this parameter is null, the language will be automatically detected. There is a cost associated with language detection.

format

The format of the input text.

charset

The character set of the input text.

Abbreviations for Use with POLICY_NOUN_PHRASES and POLICY_PART_OF_SPEECH

Table 9-1 provides a list of abbreviations to use in queries for POLICY_NOUN_PHRASES and POLICY_PART_OF_SPEECH. The examples use these abbreviations.

Table 9-1 Part of Speech Abbreviations

Abbreviation Part of Speech

N

noun

propN

nounProper

V

verb

Adj

adjective

Adv

adverb

Prep

preposition

Part

particle

Punct

punct

Pro

pronoun

Wh

interrog

Det

determiner

Conj

conjunction

Card

numCardinal

Ord

numOrdinal

Suf

suffix

Pre

prefix

Acr

nounAcronym

Poss

poss

Unk

unknown

Example for POLICY__NOUN_PHRASES

The example in this section uses the abbreviations shown in Table 9-1.

set serverout on
create or replace function toString(b boolean) return varchar2 is
    begin
      if (b) then
        return 'TRUE';
      end if;
      return 'FALSE';
 end;
 /
 
declare
 the_nps ctx_doc.noun_phrase_tab;
begin
  ctx_ddl.create_preference('rvlex', 'AUTO_LEXER');
  ctx_ddl.set_attribute('rvlex','mixed_case','YES');
  ctx_ddl.set_attribute('rvlex','timeout',0);
 
  ctx_ddl.create_policy(policy_name => 'rv_policy_21',lexer => 'rvlex');
 
 ctx_doc.policy_noun_phrases('rv_policy_21','The mayor of Chicago is giving a
 brief press conference',the_nps);
 dbms_output.put_line(the_nps.count);
 
 for i in 1..the_nps.count loop
      if (the_nps(i).is_phrase_start) then
        if (i>1) then
          dbms_output.put(']');
          dbms_output.new_line;
        end if;
        dbms_output.put('Phrase{term,POS,is_in_lex,offset,len,is_phrase_
        start}:[');
      else
        dbms_output.put(',');
      end if;
      dbms_output.put('{' || the_nps(i).term || ',' || the_nps(i).pos_tag || ','
      || toString(the_nps(i).is_in_lexicon) || ',' || the_nps(i).offset 
      || ',' || the_nps(i).length || ',' || toString(the_nps(i).is_phrase_start)
      || '}');
      end loop;
      dbms_output.put(']');
      dbms_output.new_line;
end;
/

Output for this example:

Phrase{term,POS,is_in_lex,offset,len,is_phrase_start}:
[{The,Det,TRUE,1,3,TRUE},{mayor,N,TRUE,5,5,FALSE},
{of,Prep,TRUE,11,2,FALSE},{Chicago,propN,TRUE,14,7,FALSE}

Phrase{term,POS,is_in_lex,offset,len,is_phrase_start}:
[{a,Det,TRUE,32,1,TRUE},{brief,N,TRUE,34,5,FALSE},
{press,N,TRUE,40,5,FALSE},{conference,N,TRUE,46,10,FALSE}]

Related Topics

"POLICY_PART_OF_SPEECH"

9.14 POLICY_PART_OF_SPEECH

Extracts part of speech information for each word in a body of text.

POLICY_NOUN_PHRASES has the list of supported languages.

Syntax

ctx_doc.policy_part_of_speech (
   policy_name       in varchar2,
   document          in varchar2 | CLOB,
   restab            in out nocopy noun_phrase_tab,
   language          in varchar2  default NULL,
   format            in varchar2  default NULL,
   charset           in varchar2  default NULL
   disambiguate_tags in boolean default TRUE
);
policy_name

Specify the policy name created with CTX_DDL.CREATE_POLICY. If the specified policy includes a sectioning preference, the API will honor the sectioning preference. For instance, if HTML sectioning is specified, HTML tags will be removed before processing the input document.

document

A body of text for which the languages are to be extracted. The text is assumed to be plain text with UTF-8 character encoding.

restab

Specify the name of the CLOB locator. The query returns a table with the result of the noun phrase extraction. For each word, the following attributes are also returned:

  • pos_tags: the part of speech tags for this word. There can be multiple part of speech tags with the most likely tag listed first.

  • offset: offset of the word in the input string

  • length: length of the word in the input string.

  • is_in_lexicon: Indicates whether the word is in the lexicon.

language

Specify the language. See the list of supported languages in this section. If this parameter is null, the language will be automatically detected. There is a cost associated with language detection.

format

The format of the input text.

charset

The character set of the input text.

Example for POLICY_PART_OF_SPEECH

The example in this section uses the abbreviations shown in Table 9-1.

set serveroutput on;
declare
  the_nps ctx_doc.part_of_speech_tab;
begin
   ctx_doc.policy_part_of_speech(policy_name => 'rv_policy_21',
                                document => 'The mayor of Chicago is giving 
                                             a brief press conference',
                                 restab => the_nps,
                                 disambiguate_tags => false,
                                 language => 'english');
 for i in 1..the_nps.count loop
  dbms_output.put('word:' || the_nps(i).word || ',pos:[');
  for j in 1..the_nps(i).pos_tags.count loop
    dbms_output.put(the_nps(i).pos_tags(j) || ',');
  end loop;
  dbms_output.put_line(']');
 end loop;
end;
/

Output for this example:

word:The,pos:[Det,]
word:mayor,pos:[N,]
word:of,pos:[Prep,]
word:Chicago,pos:[propN,]
word:is,pos:[V,]
word:giving,pos:[N,V,Adj,]
word:a,pos:[Det,]
word:brief,pos:[N,V,Adj,]
word:press,pos:[N,V,]
word:conference,pos:[N,V,]

Related Topics

"POLICY_NOUN_PHRASES"

"Table 6-1"

9.15 POLICY_SNIPPET

Displays marked-up keywords in context. The returned text contains either the words that satisfy a word query or the themes that satisfy an ABOUT query. This version of the CTX_DOC.SNIPPET procedure does not require an index.

Syntax

Syntax 1

exec CTX_DOC.POLICY_SNIPPET(
policy_name              IN VARCHAR2,
document                 IN [VARCHAR2|CLOB|BLOB|BFILE],
text_query               IN VARCHAR2,
language                 IN VARCHAR2 default NULL,
format                   IN VARCHAR2 default NULL,
charset                  IN VARCHAR2 default NULL,
starttag                 IN VARCHAR2 DEFAULT '<b>',
endtag                   IN VARCHAR2 DEFAULT '</b>',
entity_translation       IN BOOLEAN  DEFAULT TRUE,
separator                IN VARCHAR2 DEFAULT '<b>...</b>'
radius	                   IN INTEGER DEFAULT 25,
max_length               IN INTEGER DEFAULT 250
)
return varchar2;

Syntax 2

exec CTX_DOC.POLICY_SNIPPET_CLOB_QUERY(
policy_name              IN VARCHAR2,
document                 IN [VARCHAR2|CLOB|BLOB|BFILE],
text_query               IN CLOB,
language                 IN VARCHAR2 default NULL,
format                   IN VARCHAR2 default NULL,
charset                  IN VARCHAR2 default NULL,
starttag                 IN VARCHAR2 DEFAULT '<b>',
endtag                   IN VARCHAR2 DEFAULT '</b>',
entity_translation       IN BOOLEAN DEFAULT TRUE,
separator                IN VARCHAR2 DEFAULT '<b>...</b>'
radius	                   IN INTEGER DEFAULT 25,
max_length               IN INTEGER DEFAULT 250
)
return varchar2;
policy_name

Specify the name of a policy created with CTX_DDL.CREATE_POLICY.

document

Specify the document in which to search for keywords.

text_query

Specify the original query expression used to retrieve the document. If NULL, no highlights are generated.

If text_query includes wildcards, stemming, fuzzy matching which result in stopwords being returned, POLICY_SNIPPET does not highlight the stopwords.

If text_query contains the threshold operator, the operator is ignored.

language

Specify the language of the document. Use an Oracle Text supported language value as you would in the language column of the base table. See MULTI_LEXER in Oracle Text Indexing Elements.

format

Specify the format of the document. Use an Oracle Text supported format value, either TEXT, BINARY or IGNORE as you would specify in the format column of the base table. For more information, see the format column description in "CREATE INDEX".

charset

Specify the character set of the document. Use an Oracle Text supported value as you would specify in the charset column of the base table. See "Filter Types".

starttag

Specify the start tag for marking up the query keywords. Default is '<b>'.

endtag

Specify the end tag for marking up the query keywords. Default is '</b>'.

entity_translation

Specify if you want HTML entities to be translated. The default is TRUE, which means the special entities (<, >, and &) are translated into their alternate forms ('&lt;', '&gt;', and '&amp;') when output by the procedure. However, special characters in the markup tags generated by CTX_DOC.POLICY_SNIPPET will not be translated.

separator

Specify the string separating different returned fragments. Default is '<b>...</b>'.

radius

Specify the number of characters to be shown on either side of the hit query in a segment. The character count before the hit query begins on the first character of the first hit query displayed in a segment. Accordingly, the character count after the hit query begins on the last character of the last hit query displayed on a specific segment. Two segments are merged into one if their radii overlap. The displayed number of characters on each side may be modified by +/-10 chars to best match the beginning or ending of a sentence or word.

Special attention is required for the value 0. When specified, the radius is set to automatic and varies between sentences. A best guess of the results is displayed, which attempts to match a full sentence. Note that the length of the radius on each side of the hit query will most likely significantly differ.

The default value is 25.

max_length

Specify the maximum length of the snippet output in characters. This value is currently upper-bounded by the current return type of CTX_DOC.SNIPPET and CTX_DOC.POLICY_SNIPPET (VARCHAR2). Should the output be longer than the return type VARCHAR2, the result will be truncated.

The default value for max_length is 250.

Note:

If you set max_length value to a very low value, no snippet may be generated. For example, if max_length is set to 0 or if max_length is lower than the length of query tokens themselves, no snippet may be generated at all.

Limitations

CTX_DOC.POLICY_SNIPPET does not support the use of query templates.

CTX_DOC.POLICY_SNIPPET displays marked-up keywords in context when used with NULL_SECTION_GROUP. However, there are limitations when using this procedure with XML documents. When used with XML_SECTION_GROUP or AUTO_SECTION_GROUP, the XML structure is ignored and user-specified tags are stripped out, which results in parts of surrounding text to be included in the returned snippet.

Related Topics

"SNIPPET"

"MARKUP "

9.16 POLICY_STEMS

Extracts stems for each word in a body of text. This procedure is for use with AUTO_LEXER. This procedure can only use the languages supported by AUTO_LEXER, which are listed under "POLICY_LANGUAGES".

Syntax

exec CTX_DOC.POLICY_STEMS (
   policy_name   in varchar2,
   document      in varchar2 | CLOB,
   restab        in out nocopy ctx_doc.stem_group_tab,
   language      in varchar2  default NULL,
   format        in varchar2  default NULL,
   charset       in varchar2  default NULL
);
policy_name

A policy that was previously created using the CTX_DDL.CREATE_POLICY method. If the specified policy includes a HTML_SECTION_GROUP sectioning preference, the API will honor the sectioning preference. For instance, if HTML sectioning is specified, HTML tags will be removed before processing the input document.

Note that the policy must use AUTO_LEXER only.

document

A body of text for which the languages are to be extracted. The text is assumed to be plain text with UTF-8 character encoding.

restab

The result of the stem extraction process. The returned values in the PL/SQL table will have one cell for each word in the input string document. Each word can be a multi-word as determined by the lexer. For each word, all the stems (including all alternate stems) are returned. For each stem, the offset and the length (in the input string) of the word for which this is a stem is returned. Additionally, for each stem, a Boolean value is returned that indicates if the stem was found in the lexicon.

stem_group_tab is a table of stem_group_records.

language

The language of the input text. The language string can be one of the values specified in the previous section on language extraction. If this parameter is null, the language will be automatically detected. There is a cost associated with language detection. So, if the language is known, it is best to supply the language value. See "POLICY_LANGUAGES" for the list of languages.

format

The format of the input text.

charset

The character set of the input text.

Restrictions and Notes

The stem extraction process supports certain nonstandard word forms—e.g. capitalization errors—as well as standard forms, and thus can be used to process informal or imperfect text (such as email, online documents, or queries). It also handles some variations in the text including case variation, hyphenation and unaccented characters among others.

The stem extraction process does not break compound words, but instead separates compound words with a # character. Such compound words are common in German. For instance, the German compound word Bildungsroman (from Bildung "education" and Roman "novel") yields a single stem Bildungs#roman instead of two stems Bildungs and roman.

9.17 POLICY_THEMES

Generates a list of themes for a document. With this procedure, no CONTEXT index is required.

Syntax

ctx_doc.policy_themes(policy_name    in VARCHAR2, 
	                      document       in [VARCHAR2|CLOB|BLOB|BFILE],
                      restab         in out nocopy theme_tab,
                      full_themes    in BOOLEAN default FALSE,
                      num_themes     in number    default 50
                      language       in VARCHAR2 default NULL,
                      format         in VARCHAR2 default NULL,
                      charset        in VARCHAR2 default NULL
);
policy_name

Specify the policy you create with CTX_DDL.CREATE_POLICY.

document

Specify the document for which to generate a list of themes.

restab

Specify the name of the theme_tab PL/SQL index-by-table type.

See Also:

"THEMES" for more information about the structure of the theme_tab type.

full_themes

Specify whether this procedure generates a single theme or a hierarchical list of parent themes (full themes) for each document theme.

Specify TRUE for this procedure to write full themes to the THEME column of the result table.

Specify FALSE for this procedure to write single theme information to the THEME column of the result table. This is the default.

num_themes

Specify the maximum number of themes to retrieve. For example, if you specify 10, up to first 10 themes are returned for the document. The default is 50.

If you specify 0 or NULL, this procedure returns all themes in a document. If the document contains more than 50 themes, only the first 50 themes show conceptual hierarchy.

language

Specify the language of the document. Use an Oracle Text supported language value as you would in the language column of the base table. See "MULTI_LEXER" in Oracle Text Indexing Elements.

format

Specify the format of the document. Use an Oracle Text supported format value, either TEXT, BINARY or IGNORE as you would specify in the format column of the base table. For more information, see the format column description in "CREATE INDEX" in Oracle Text SQL Statements and Operators .

charset

Specify the character set of the document. Use an Oracle Text supported value as you would specify in the charset column of the base table. See "Filter Types".

Example

Create a policy:

exec ctx_ddl.create_policy('mypolicy');

Run themes:

declare
  la      varchar2(200);
  rtab    ctx_doc.theme_tab;
begin
   ctx_doc.policy_themes('mypolicy', 
           'To define true madness, What is''t but to be nothing but mad?', rtab);
   for i in 1..rtab.count loop
     dbms_output.put_line(rtab(i).theme||':'||rtab(i).weight);
   end loop;
end;

9.18 POLICY_TOKENS

Generate all index tokens for document. With this procedure, no CONTEXT index is required.

Syntax

ctx_doc.policy_tokens(policy_name    in  VARCHAR2,
                      document       in  [VARCHAR2|CLOB|BLOB|BFILE],
                      restab         in  out nocopy token_tab,
                      language       in  VARCHAR2 default NULL,
                      format         in  VARCHAR2 default NULL,
                      charset        in  VARCHAR2 default NULL,
                      thes_name      in  VARCHAR2 default NULL,
                      thes_toktype   in  VARCHAR2 default 'SYN');
policy_name

Specify the policy name created with CTX_DDL.CREATE_POLICY.

document

Specify the document for which to generate tokens.

restab

Specify the name of the token_tab PL/SQL index-by-table type.

The tokens returned are those tokens which are inserted into the index for the document. Stop words are not returned. Section tags are not returned because they are not text tokens.

See Also:

"TOKENS" of this chapter for more information about the structure of the token_tab type

language

Specify the language of the document. Use an Oracle Text supported language value as you would in the language column of the base table. See "MULTI_LEXER" in Oracle Text Indexing Elements.

format

Specify the format of the document. Use an Oracle Text supported format value, either TEXT, BINARY or IGNORE as you would specify in the format column of the base table. For more information, see the format column description in "CREATE INDEX".

charset

Specify the character set of the document. Use an Oracle Text supported value as you would specify in the charset column of the base table. See "Filter Types".

thes_name

Specify the thesaurus name. If you do not specify a name, no synonyms or broader terms for index tokens will be generated.

To use the system default thesaurus, specify DEFAULT.

thes_toktype
Specify SYN to generate synonyms. Alternatively, specify BT to generate broader terms of index tokens. By default, only synonyms are generated. To use this parameter, you must first specify the thesaurus name using the thes_name parameter.

Example 1

Get tokens:

declare
  la     varchar2(200);
  rtab   ctx_doc.token_tab;
begin
   ctx_doc.policy_tokens('mypolicy', 
        'To define true madness, What is''t but to be nothing but mad?',rtab);
   for i in 1..rtab.count loop
     dbms_output.put_line(rtab(i).offset||':'||rtab(i).token);
   end loop;
end;

Example 2

This example uses thesaurus support to generate synonyms for tokens:

declare
  rtab   ctx_doc.token_tab;
begin
   ctx_doc.policy_tokens('mypolicy','the lazy dog',rtab,thes_name =>'animals');
   for i in 1..rtab.count loop
     dbms_output.put_line(rtab(i).token||'a'||rtab(i).thes_tokens);
   end loop;
end;

9.19 SENTIMENT

Use this procedure to perform sentiment analysis for a document, determine a sentiment score for each topic within the document, and populate the results into a result table.

The mandatory inputs to this procedure include the name of a text index associated with the document set and the text key, which is a unique identifier that identifies each document. After sentiment classification is performed, the text segments from the document and their associated sentiment scores are populated into the result table. The sentiment score is a value between -100 and 100.

The result table must exist before you run this procedure. An error is returned if the result table does not exist or if the specified topic is null.

If the specified topic is not present in the document, then a default snippet and sentiment score of zero are written into the result table. If no sentiment classifier is specified, then the default sentiment classifier is used. The default classifier is only available when using AUTO_LEXER.

Syntax

SENTIMENT(
    index_name IN VARCHAR2,
    textkey IN VARCHAR2,
    topic IN VARCHAR2,
    restab IN VARCHAR2,
    clsfier_name IN VARCHAR2 default NULL,
    ttype IN VARCHAR2 default 'EXACT',
    radius IN NUMBER default 50,
    max_inst IN NUMBER default 5,
    starttag IN VARCHAR2 default '',
    endtag IN VARCHAR2 default '',
    use_saved_copy IN NUMBER default 0
);
Most parameters in SENTIMENT are also used in SENTIMENT_AGGREGATE. For a description of parameters common to SENTIMENT and SENTIMENT_AGGREGATE, refer to SENTIMENT_AGGREGATE.
restab

Specify the name of the result table that will be populated with generated results. The table must exist and you must have INSERT permissions on the table. The table must have two columns, snippet of data type CLOB and score of data type NUMBER.

starttag

Specify the character(s) to be inserted to indicate the start of a highlighted term.

endtag

Specify the character(s) to be inserted to indicate the end of a highlighted term.

See Also:

Oracle Text Application Developer's Guide for an example of using the SENTIMENT procedure

9.20 SENTIMENT_AGGREGATE

Use this procedure to perform sentiment analysis and return a single aggregate sentiment score per document. The aggregate sentiment score is a value between -100 and 100.

You specify search keywords as part of a text query and then identify a sentiment associated with the topics in the document.

The mandatory inputs for this procedure include the name of a text index associated with the document set and the text key, which is a unique identifier that identifies each document. If no sentiment classifier is specified, then the default sentiment classifier is used. The default classifier is only available when using AUTO_LEXER.

If the specified topic keyword is not found within the document, then a sentiment score of zero is returned. If no topic is specified, then the aggregate sentiment score for the entire document is returned.

Note:

Avoid using AUTO_LEXER with user-defined classifiers as this may provide inconsistent sentiment scores.

Syntax

SENTIMENT_AGGREGATE(
    index_name IN VARCHAR2,
    textkey IN VARCHAR2,
    topic IN VARCHAR2 default NULL,
    clsfier_name IN VARCHAR2 default NULL,
    ttype IN VARCHAR2 default 'EXACT',
    radius IN NUMBER default 50,
    max_inst IN NUMBER default 5,
    use_saved_copy IN NUMBER default 0
) return NUMBER;
index_name

Specify the name of the CONTEXT index for the text column. This parameter is mandatory.

textkey

Specify the unique identifier (usually the primary key) for the document. The textkey is mandatory and is a single column primary key value.

clsfier_name

Specify the name of the sentiment classifier used to perform sentiment analysis. The maximum length supported for a classifier name is 24 bytes. If you do not specify a classifier name, then the default classifier is used.

topic
Specify the topic for which a sentiment score must be generated for this document. If the topic is not specified, then the sentiment score for the entire document is generated.
ttype
Specify the type of search to be performed for this document:
  • EXACT: Indicates that the specified search keyword must be searched in the document. This is the default setting.

  • ABOUT: Indicates that the thesaurus must be used to find words that are related to the search keywords.

radius

Specifies the radius of the surrounding text to be analyzed during sentiment classification. The default value is 50.

The exact amount of text used for analysis varies from case to case because Oracle Text attempts to find the best match text segment with respect to nearby topic keywords, word boundaries, and sentence boundaries.

max_inst
Specify the maximum number of instances/occurrences of the topic that must be analyzed. The default value for this parameter is 5.
use_saved_copy
Specify whether to refer to the $D table to fetch the copy of the document and what action to take when the copy of the document is not available in the $D table. The default value of this parameter is zero.

See Also:

Oracle Text Application Developer's Guide for an example of using the SENTIMENT_AGGREGATE procedure

9.21 SET_KEY_TYPE

Use this procedure to set the CTX_DOC procedures to accept either the ROWID or the PRIMARY_KEY document identifiers. This setting affects the invoking session only.

Syntax

ctx_doc.set_key_type(key_type in varchar2);
key_type

Specify either ROWID or PRIMARY_KEY as the input key type (document identifier) for CTX_DOC procedures.

This parameter defaults to the value of the CTX_DOC_KEY_TYPE system parameter.

Note:

  • When your base table has no primary key, setting key_type to PRIMARY_KEY is ignored. The textkey parameter that you specify for any CTX_DOC procedure is interpreted as a ROWID.

  • CTX_DOC.SET_KEY_TYPE fails to set PRIMARY_KEY as the input key type for CTX_DOC procedures, if it’s PRIMARY_KEY is added to the table post index creation. ORA-20000 error is displayed. The workaround is to drop the index and recreate the index.

Example

The following example sets CTX_DOC procedures to accept primary key document identifiers.

begin
ctx_doc.set_key_type('PRIMARY_KEY');
end

9.22 SNIPPET

Use the CTX_DOC.SNIPPET procedure to produce a concordance for a document. The output of a snippet is a collection of segments. A concordance is a text fragment that contains a query term with some of its surrounding text. This is also sometimes known as Key Word in Context or KWIC, because it returns query keywords marked up in their surrounding text, which enables the user to evaluate them in context. The returned text can also contain themes that satisfy an ABOUT query.

For example, a search on brillig and slithey might return one relevant fragment of a document as follows:

'Twas <b>brillig</b>, and the <b>slithey</b> toves did gyre and

CTX_DOC.SNIPPET returns one or more most relevant fragments for a document that contains the query term. Because CTX_DOC.SNIPPET returns surrounding text, you can immediately evaluate how useful the returned term is. CTX_DOC.SNIPPET returns the entire document if no words in the returned text are marked up.

Note that for queries that have predicates used mainly for filtering documents at query time, the predicates are ignored during SNIPPET generation. The following predicates are treated as filter predicates for this purpose: SDATA, HASPATH, and WITHIN/INPATH searching inside xml attributes.

See Also:

CTX_DOC.POLICY_SNIPPET for a policy-based version of this procedure

Syntax

Syntax 1

exec CTX_DOC.SNIPPET(
index_name               IN VARCHAR2,
textkey                  IN VARCHAR2,
text_query               IN VARCHAR2,
starttag                 IN VARCHAR2 DEFAULT '<b>',
endtag                   IN VARCHAR2 DEFAULT '</b>',
entity_translation       IN BOOLEAN  DEFAULT TRUE,
separator                IN VARCHAR2 DEFAULT '<b>...</b>',
radius	                   IN INTEGER DEFAULT 25,
max_length               IN INTEGER DEFAULT 250
use_saved_copy           IN NUMBER DEFAULT CTX_DOC.SAVE_COPY_FALLBACK
return varchar2
);

Syntax 2

exec CTX_DOC.SNIPPET_CLOB_QUERY(
index_name               IN VARCHAR2,
textkey                  IN VARCHAR2,
text_query               IN CLOB,
starttag                 IN VARCHAR2 DEFAULT '<b>',
endtag                   IN VARCHAR2 DEFAULT '</b>',
entity_translation       IN BOOLEAN DEFAULT TRUE,
separator                IN VARCHAR2 DEFAULT '<b>...</b>',
radius	                   IN INTEGER DEFAULT 25,
max_length               IN INTEGER DEFAULT 250
use_saved_copy           IN NUMBER DEFAULT CTX_DOC.SAVE_COPY_FALLBACK
return varchar2
);
index_name

Specify the name of the index for the text column.

textkey

Specify the unique identifier (usually the primary key) for the document.

The textkey parameter can be as follows:

  • A single column primary key value

  • An encoded specification for a composite (multiple column) primary key. When textkey is a composite key, you must encode the composite textkey string using the CTX_DOC.PKENCODE procedure.

  • The rowid of the row containing the document

Use CTX_DOC.SET_KEY_TYPE to toggle between primary key and rowid identification.

text_query

Specify the original query expression used to retrieve the document. If NULL, no highlights are generated.

If text_query includes wildcards, stemming, fuzzy matching which result in stopwords being returned, SNIPPET does not highlight the stopwords.

If text_query contains the threshold operator, the operator is ignored.

starttag

Specify the start tag for marking up the query keywords. Default is '<b>'.

endtag

Specify the end tag for marking up the query keywords. Default is '</b>'.

entity_translation

Specify if you want HTML entities to be translated. The default is TRUE, which means that the special entities (<, >, and &) are translated into their alternative forms ('&lt;', '&gt;', and '&amp;') when output by the procedure. However, special characters in the markup tags that are generated by CTX_DOC.SNIPPET will not be translated.

separator

Specify the string separating different returned fragments. Default is '<b>...</b>'.

radius

Specify the number of characters to be shown on either side of the hit query in a segment. The character count before the hit query begins on the first character of the first hit query displayed in a segment. Accordingly, the character count after the hit query begins on the last character of the last hit query displayed on a specific segment. Two segments are merged into one if their radii overlap. The displayed number of characters on each side may be modified by +/-10 chars to best match the beginning or ending of a sentence or word.

Special attention is required for the value 0. When specified, the radius is set to automatic and varies between sentences. A best guess of the results is displayed, which attempts to match a full sentence. Note that the length of the radius on each side of the hit query will most likely significantly differ.

The default value is 25.

max_length

Specify the maximum length of the snippet output in characters. This value is currently upper-bounded by the current return type of CTX_DOC.SNIPPET and CTX_DOC.POLICY_SNIPPET (VARCHAR2). Should the output be longer than the return type VARCHAR2, the result will be truncated. The default value for max_length is 250.

If you set max_length value to a very low value, no snippet may be generated. For example, if max_length is set to 0 or if max_length is lower than the length of query tokens themselves, no snippet may be generated at all.

use_saved_copy

Specify whether to refer to the $D table to fetch the copy of the document, and what action to take when the copy of the document is not available in the $D table. The default value is CTX_DOC.SAVE_COPY_FALLBACK.

You can specify one of the following values for the use_saved_copy parameter:

  • CTX_DOC.SAVE_COPY_FALLBACK: Fetch the copy of the document from the $D table. If the copy of the document is not present in the $D table, then fetch the document from the data store.

  • CTX_DOC.SAVE_COPY_ERROR: Fetch the copy of the document from the $D table. If the copy of the document is not present in the $D table, then show an error message. Specify this value when you want to implement a specific fallback logic when the copy of the document is not available in the $D table.

  • CTX_DOC.SAVE_COPY_IGNORE: Always fetch the document from the data store.

Example

create table tdrbhk01 (id number primary key, text varchar2(4000));
 
insert into tdrbhk01 values (1, 'Oracle Text adds powerful search
 and intelligent text management to the Oracle
database.  Complete.  You can search and manage documents, web pages,
catalog entries in more than 150 formats in any language.  Provides a
complete text query language and complete character support.  Simple.  You
can index and search text using SQL. Oracle Text Management can be done
using Oracle Enterprise Manager - a GUI tool.  Fast.  You can search
millions of documents, document,web pages, catalog entries using the
power and scalability of the database.  Intelligent.  Oracle Text''s
unique knowledge-base enables you to search, classify, manage
documents, clusters and summarize text based on its meaning as well as
its content. ');
 
create index tdrbhk01x on tdrbhk01(text) indextype is ctxsys.context;
 
create or replace function my_snippet_wrapper(
 key in varchar2,
 query in varchar2,
 radius in number,
 max_length in number) return varchar2 is
  buff varchar2(4000);
 begin
  buff := ctx_doc.snippet('tdrbhk01x', key, query, '<b>', '<b>', true, '<b>..<b>', radius, max_length);
  return buff;
 end;
/
show errors;
 
select my_snippet_wrapper('1','Oracle', 10, 100) from dual;

The result looks something like this:

CTX_DOC.SNIPPET('TDRBHK01X','1','SEARCH|CLASSIFY')
------------------------------------------------------------------------
 
Text's unique knowledge-base enables you to <b>search</b>,
<b>classify</b>, manage documents, clusters and summarize

Limitations

CTX_DOC.SNIPPET does not support the use of query templates.

CTX_DOC.SNIPPET displays marked-up keywords in context when used with NULL_SECTION_GROUP. However, there are limitations when using this procedure with XML documents. When used with XML_SECTION_GROUP or AUTO_SECTION_GROUP, the XML structure is ignored and user-specified tags are stripped out, which results in parts of surrounding text to be included in the returned snippet.

Related Topics

"POLICY_SNIPPET"

"HIGHLIGHT "

"MARKUP "

9.23 THEMES

Use the CTX_DOC.THEMES procedure to generate a list of themes for a document. You can store each theme as a row in either a result table or an in-memory PL/SQL table that you specify.

Syntax 1: In-Memory Table Storage

CTX_DOC.THEMES(
index_name      IN VARCHAR2,
textkey         IN VARCHAR2,
restab          IN OUT NOCOPY THEME_TAB,
full_themes     IN BOOLEAN DEFAULT FALSE,
num_themes      IN NUMBER DEFAULT 50,
use_saved_copy  IN NUMBER DEFAULT CTX_DOC.SAVE_COPY_FALLBACK);

Syntax 2: Result Table Storage

CTX_DOC.THEMES(
index_name      IN VARCHAR2,
textkey         IN VARCHAR2,
restab          IN VARCHAR2,
query_id        IN NUMBER DEFAULT 0,
full_themes     IN BOOLEAN DEFAULT FALSE,
num_themes      IN NUMBER DEFAULT 50,
use_saved_copy  IN NUMBER DEFAULT CTX_DOC.SAVE_COPY_FALLBACK);
index_name

Specify the name of the index for the text column.

textkey

Specify the unique identifier (usually the primary key) for the document.

The textkey parameter can be as follows:

  • A single column primary key value

  • An encoded specification for a composite (multiple column) primary key. When textkey is a composite key, you must encode the composite textkey string using the CTX_DOC.PKENCODE procedure.

  • The rowid of the row containing the document

Toggle between primary key and rowid identification using CTX_DOC.SET_KEY_TYPE.

restab

You can specify this procedure to store results to either a table or to an in-memory PL/SQL table.

To store results in a table, specify the name of the table.

To store results in an in-memory table, specify the name of the in-memory table of type THEME_TAB. The THEME_TAB datatype is defined as follows:

type theme_rec is record (
   theme varchar2(2000),
   weight number
);

type theme_tab is table of theme_rec index by binary_integer;

CTX_DOC.THEMES clears the THEME_TAB you specify before the operation.

query_id

Specify the identifier used to identify the row(s) inserted into restab.

full_themes

Specify whether this procedure generates a single theme or a hierarchical list of parent themes (full themes) for each document theme.

Specify TRUE for this procedure to write full themes to the THEME column of the result table.

Specify FALSE for this procedure to write single theme information to the THEME column of the result table. This is the default.

num_themes

Specify the maximum number of themes to retrieve. For example, if you specify 10, then up to the first 10 themes are returned for the document. The default is 50.

If you specify 0 or NULL, then this procedure returns all themes in a document. If the document contains more than 50 themes, then only the first 50 themes show conceptual hierarchy.

use_saved_copy

Specify whether to refer to the $D table to fetch the copy of the document, and what action to take when the copy of the document is not available in the $D table.

You can specify one of the following values for the use_saved_copy parameter:

  • CTX_DOC.SAVE_COPY_FALLBACK: Fetch the copy of the document from the $D table. If the copy of the document is not present in the $D table, then fetch the document from the data store.

  • CTX_DOC.SAVE_COPY_ERROR: Fetch the copy of the document from the $D table. If the copy of the document is not present in the $D table, then show an error message. Specify this value when you want to implement a specific fallback logic when the copy of the document is not available in the $D table.

  • CTX_DOC.SAVE_COPY_IGNORE: Always fetch the document from the data store.

The default value is CTX_DOC.SAVE_COPY_FALLBACK.

Examples

In-Memory Themes

The following example generates the first 10 themes for document 1 and stores them in an in-memory table called the_themes. The example then loops through the table to display the document themes.

declare
 the_themes ctx_doc.theme_tab;

begin
 ctx_doc.themes('myindex','1',the_themes, num_themes=>10);
 for i in 1..the_themes.count loop
  dbms_output.put_line(the_themes(i).theme||':'||the_themes(i).weight);
  end loop;
end;

Theme Table

The following example creates a theme table called CTX_THEMES:

create table CTX_THEMES (query_id number, 
                         theme varchar2(2000), 
                         weight number);

Single Themes

To obtain a list of up to the first 20 themes, where each element in the list is a single theme, enter a statement like the following example:

begin
 ctx_doc.themes('newsindex','34','CTX_THEMES',1,full_themes => FALSE, 
 num_themes=> 20);
end;

Full Themes

To obtain a list of the top 20 themes, where each element in the list is a hierarchical list of parent themes, enter a statement like the following example:

begin
ctx_doc.themes('newsindex','34','CTX_THEMES',1,full_themes => TRUE, num_
themes=>20);
end;

9.24 TOKENS

Use this procedure to identify all text tokens in a document. The tokens returned are those tokens that are inserted into the index.

Thesaurus support also enables you to generate synonyms or broader terms of the queried index tokens. This feature is useful for implementing document classification, routing, or clustering.

Stopwords are not returned. Section tags are not returned because they are not text tokens.

Syntax 1: In-Memory Table Storage

CTX_DOC.TOKENS(index_name      IN VARCHAR2,
               textkey         IN VARCHAR2,
               restab          IN OUT NOCOPY TOKEN_TAB,
               thes_name       IN VARCHAR2 DEFAULT NULL,   
               thes_toktype    IN VARCHAR2 DEFAULT 'SYN',  
               use_saved_copy  IN NUMBER DEFAULT CTX_DOC.SAVE_COPY_FALLBACK);

Syntax 2: Result Table Storage

CTX_DOC.TOKENS(index_name      IN VARCHAR2,
               textkey         IN VARCHAR2,
               restab          IN VARCHAR2,
               thes_name       IN VARCHAR2 DEFAULT NULL,
               thes_toktype    IN VARCHAR2 DEFAULT 'SYN',       
               query_id        IN NUMBER DEFAULT 0,
               use_saved_copy  IN NUMBER DEFAULT CTX_DOC.SAVE_COPY_FALLBACK);
index_name

Specify the name of the index for the text column.

textkey

Specify the unique identifier (usually the primary key) for the document.

The textkey parameter can be as follows:

  • A single column primary key value

  • Encoded specification for a composite (multiple column) primary key. To encode a composite textkey, use the CTX_DOC.PKENCODE procedure.

  • The rowid of the row containing the document

Toggle between primary key and rowid identification using CTX_DOC.SET_KEY_TYPE.

restab

You can specify that this procedure store results to either a table or to an in-memory PL/SQL table.

The tokens returned are those tokens that are inserted into the index for the document (or row) named with textkey. Stop words are not returned. Section tags are not returned because they are not text tokens.

thes_name

Specify the thesaurus name. If you do not specify a thesaurus name, then no synonyms or broader terms will be generated. To use the system default thesaurus, specify DEFAULT.

If you specify thes_name, then the token table must include the THES_TOKENS column, otherwise the CTX_DOC.TOKENS procedure fails with an "ORA-00904: THES_TOKENS: Invalid identifier when thes_name parameter is used" error.

thes_toktype
Specify SYN to generate synonyms of index tokens. Alternatively, specify BT to generate broader terms of index tokens. By default, synonyms are generated. To use this parameter, you must first specify a thesaurus name using the thes_name parameter.

Specifying a Token Table

To store results to a table, specify the name of the table. Token tables can be named anything, but must include the columns shown in the following table, with names and datatypes as specified.

Table 9-2 Required Columns for Token Tables

Column Name Type Description

QUERY_ID

NUMBER

The identifier for the results generated by a particular call to CTX_DOC.TOKENS (only populated when table is used to store results from multiple TOKEN calls)

TOKEN

VARCHAR2(255)

The token string in the text.

THES_TOKENS

VARCHAR2(4000)

Synonyms or broader terms generated using a thesaurus for the token in the TOKEN column. These values must be colon-separated.

Note:

The THES_TOKENS column is required only if you specify the thes_name argument with the CTX_DOC.TOKENS API.

OFFSET

NUMBER

The position of the token in the document, relative to the start of document which has a position of 1.

LENGTH

NUMBER

The character length of the token.

Specifying an In-Memory Table

To store results to an in-memory table, specify the name of the in-memory table of type TOKEN_TAB. The TOKEN_TAB datatype is defined as follows:

type token_rec is record (
token varchar2(255),
offset number,
length number
);

type token_tab is table of token_rec index by binary_integer;

CTX_DOC.TOKENS clears the TOKEN_TAB you specify before the operation.

query_id

Specify the identifier used to identify the row(s) inserted into restab.

use_saved_copy

Specify whether to refer to the $D table to fetch the copy of the document, and what action to take when the copy of the document is not available in the $D table.

You can specify one of the following values for the use_saved_copy parameter:

  • CTX_DOC.SAVE_COPY_FALLBACK: Fetch the copy of the document from the $D table. If the copy of the document is not present in the $D table, then fetch the document from the data store.

  • CTX_DOC.SAVE_COPY_ERROR: Fetch the copy of the document from the $D table. If the copy of the document is not present in the $D table, then show an error message. Specify this value when you want to implement a specific fallback logic when the copy of the document is not available in the $D table.

  • CTX_DOC.SAVE_COPY_IGNORE: Always fetch the document from the data store.

The default value is CTX_DOC.SAVE_COPY_FALLBACK.

Example

In-Memory Tokens

The following example generates the tokens for document 1 and stores them in an in-memory table, declared as the_tokens. The example then loops through the table to display the document tokens.

declare
 the_tokens ctx_doc.token_tab;

begin
 ctx_doc.tokens('myindex','1',the_tokens);
 for i in 1..the_tokens.count loop
  dbms_output.put_line(the_tokens(i).token);
  end loop;
end;