|Oracle® Text Application Developer's Guide
10g Release 2 (10.2)
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This chapter describes document presentation. The following topics are covered:
In Oracle Text query applications, you can present selected documents with query terms highlighted for text queries or with themes highlighted for
You can generate three types of output associated with highlighting:
A marked-up version of the document
Query offset information for the document
A concordance of the document, in which occurrences of the query term are returned with their surrounding text
For text highlighting, you supply the query, and Oracle Text highlights words in document that satisfy the query. You can obtain plain-text or HTML highlighting.
ABOUT queries, the
CTX_DOC procedures highlight and mark up words or phrases that best represent the
These are the highlighting procedures in
POLICY and non-
POLICY versions of the procedures are equivalent, except that the
POLICY versions do not require an index.
CTX_DOC.POLICY_MARKUP procedures take a document reference and a query, and return a marked-up version of the document. The output can be either marked-up plaintext or marked-up HTML. For example, you might specify that a marked-up document be returned with the query term surrounded by angle brackets (<<<tansu>>>) or HTML (<b>tansu</b>).
CTX_DOC.POLICY_MARKUP are equivalent, except that
CTX_DOC.POLICY_MARKUP does not require an index.
You can customize the markup sequence for HTML navigation.
The following example is taken from the Web application described in Appendix A, "CONTEXT Query Application". The procedure
showDoc takes an HTML document and a query, creates the highlight markup—in this case, the query term will display in red—and outputs the result to an in-memory buffer. It then uses htp.print to display it in the browser.
procedure showDoc (p_id in varchar2, p_query in varchar2) is v_clob_selected CLOB; v_read_amount integer; v_read_offset integer; v_buffer varchar2(32767); v_query varchar(2000); v_cursor integer; begin htp.p('<html><title>HTML version with highlighted terms</title>'); htp.p('<body bgcolor="#ffffff">'); htp.p('<b>HTML version with highlighted terms</b>'); begin ctx_doc.markup (index_name => 'idx_search_table', textkey => p_id, text_query => p_query, restab => v_clob_selected, starttag => '<i><font color=red>', endtag => '</font></i>'); v_read_amount := 32767; v_read_offset := 1; begin loop dbms_lob.read(v_clob_selected,v_read_amount,v_read_offset,v_buffer); htp.print(v_buffer); v_read_offset := v_read_offset + v_read_amount; v_read_amount := 32767; end loop; exception when no_data_found then null; end; exception when others then null; --showHTMLdoc(p_id); end; end showDoc; end; / show errors set define on
See Also:Oracle Text Reference for more information about
CTX_DOC.POLICY_HIGHLIGHT take a query and a document and return offset information for the query in either plaintext or HTML formats. This offset information can be used to write your own custom routines for displaying documents.
CTX_DOC.POLICY_HIGHLIGHT are equivalent, except that
CTX_DOC.POLICY_HIGHLIGHT does not require an index.
With offset information, you can display a highlighted version of document as desired. For example, you can display the document with different font types or colors rather than using the standard plain text markup obtained from
See Also:Oracle Text Reference for more information about using
CTX_DOC.POLICY_SNIPPET produce a concordance of the document, in which occurrences of the query term are returned with their surrounding text. This result is sometimes known as Key Word in Context, or KWIC, because instead of returning the entire document (with or without the query term highlighted), it returns the query term in text fragments, allowing a user to see it in context. You can control the way the query term is highlighted in the returned fragments.
CTX_DOC.POLICY_SNIPPET are equivalent, except that
CTX_DOC.POLICY_SNIPPET does not require an index.
See Also:Oracle Text Reference for more information about
The following table describes lists of themes, gists, and theme summaries.
|List of Themes||A list of the main concepts of a document.
You can generate list of themes where each theme is a single word or phrase or where each theme is a hierarchical list of parent themes.
|Gist||Text in a document that best represents what the document is about as a whole.|
|Theme Summary||Text in a document that best represents a given theme in the document.|
To obtain this output, you use procedures in the
CTX_DOC supplied package. With this package, you can do the following:
Identify documents by
ROWID in addition to primary key
Store results in-memory for improved performance
See Also:Oracle Text Reference to learn more about the command syntax for
The following example generates the top 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, numthemes=>10); for i in 1..the_themes.count loop dbms_output.put_line(the_themes(i).theme||':'||the_themes(i).weight); end loop; end;
To create a theme table:
create table ctx_themes (query_id number, theme varchar2(2000), weight number);
begin ctx_doc.themes('newsindex','34','CTX_THEMES',1,full_themes => FALSE); end;
A gist is the text of a document that best represents what the document is about as a whole. A theme summary is the text of a document that best represents a single theme in the document.
See Also:Oracle Text Reference to learn about the command syntax for
The following example generates a nondefault 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.
declare gklob clob; amt number := 40; line varchar2(80); begin ctx_doc.gist('newsindex','34','gklob',1,glevel => 'P',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;
To create a gist table:
create table ctx_gist (query_id number, pov varchar2(80), gist CLOB);
The following example returns a default sized paragraph level gist for document 34:
begin ctx_doc.gist('newsindex','34','CTX_GIST',1,'PARAGRAPH', pov =>'GENERIC'); end;
The following example generates a nondefault size gist of ten paragraphs:
begin ctx_doc.gist('newsindex','34','CTX_GIST',1,'PARAGRAPH', pov =>'GENERIC', numParagraphs => 10); end;
The following example generates a gist whose number of paragraphs is ten percent of the total paragraphs in document:
begin ctx_doc.gist('newsindex','34','CTX_GIST',1, 'PARAGRAPH', pov =>'GENERIC', maxPercent => 10); end;
Typically, a query application enables the user to view the documents returned by a query. The user selects a document from the hit list and then the application presents the document in some form.
With Oracle Text, you can display a document in different ways. For example, you can present documents with query terms highlighted. Highlighted query terms can be either the words of a word query or the themes of an
ABOUT query in English.
You can also obtain gist (document summary) and theme information from documents with the
CTX_DOC PL/SQL package.
Table 5-2 describes the different output you can obtain and which procedure to use to obtain each type.
|Plain text version, no highlights||
|HTML version of document, no highlights||
|Highlighted document, plain text version||
|Highlighted document, HTML version||
|Highlight offset information for plain text version||
|Highlight offset information for HTML version||
|Theme summaries and gist of document.||
|List of themes in document.||
See Also:The Oracle Text Reference
Figure 5-1 shows an original document to which we can apply highlighting, gisting, and theme extraction in the following sections.
Figure 5-2 is a screen shot of a query application presenting the document shown in Figure 5-1 with the query term pet highlighted. This output was created using the text query application produced by a wizard described in Appendix A, "CONTEXT Query Application".
Figure 5-3 is a screen shot of a query application presenting a list of themes for the document shown in Figure 5-1. This output was created using the text query application produced by a wizard described in Appendix A, "CONTEXT Query Application".
Figure 5-4 is a screen shot of a query application presenting a gist of the document shown in Figure 5-1. This output was created using the text query application produced by a wizard described in Appendix A, "CONTEXT Query Application".