9.3.2.1 Creating Rules in Ruleset

This section describes about creating rules in ruleset.

Every Ruleset has a set of rules such as mapping, groups, rule threshold, scoring method (default or Jaro Winkler, ML Boosted Name, etc.), match type (exact or fuzzy), and source and target attribute (Country, Email, Date of birth, etc.). These attributes help to create a set of rules for a ruleset.

Figure 9-6 Creating Rules in Ruleset


Description of Figure 9-6 follows
Description of "Figure 9-6 Creating Rules in Ruleset"

Note:

  • You can create multiple rules in the Ruleset, multiple mapping and groups in Rule, and multiple sub-rules and mappings within the Group.
  • The sum of the Weightage of Group(s) should be equal to the Weightage of the Rule.
  • You can navigate the Rules and Groups within the Rule using the Previous and Next arrow icons. The navigation icons will be enabled only when you create multiple rules and groups within the Rule.
  • You can see the Add and Delete options on respective Mapping, Groups, and Sub Rule frames within the Rule tab to perform the operations add and delete, respectively.
To create Rule(s), follow these steps:
  1. On the Ruleset Page, click Add. The page displays the Rule (n), where n is the number based on the order of the creation.
  2. On Rule (n) tab, click Add to create Rule. Enter/Select the fields as mentioned in the following table.

    Table 9-10 Fields and Description - Create Rule

    Field Description
    Name The name of the Rule.

    Note: Rule Name field accepts only 255 characters.

    Description The description of the Rule.
    Rule Threshold The threshold value for a rule. The cumulative threshold value of all attributes in this Rule must not exceed this value. This Rule contributes to the matching only when the maximum score obtained for a rule is equal to or higher than the threshold value.

    Note: The Threshold value must be less than or equal to 1, and it cannot be null.

    Source Attribute The source attribute. For example, date of birth, email ID, entity type, jurisdiction, tax ID, etc.

    Note: Attributes are displayed based on the source entity selected when creating a rule. For example, address, event, etc. It cannot be null.

    Target Attribute The target attribute. For example, entity type, jurisdiction, tax ID, etc.

    Note: Attributes are displayed based on the source entity selected when creating a rule. For example, customer, account, etc. It cannot be null.

    Threshold The threshold score. It indicates the score value provided to the attribute. The sum of the total threshold value of all attributes must be from 0 to <=1.

    It indicates that a score below the mentioned value does not generate a result from the matching engine.
    Weightage The weightage. It indicates the weightage given for the attributes in the Rule.

    Note: Cumulative of attributes' weightage must not exceed one, and it cannot be null.

    Must It indicates that this attribute cannot have a null value. This attribute must be populated and must return a value for the matching.
    % if Null It indicates that if a Group has null for one entity for all attributes and no scoring attributes.

    It considers weighted score for mapping is 50% of the weightage.
    Match Type Select one of the following match types:
    • Exact: To obtain the matches that are 100% perfect when finding the entities in a database.
    • Fuzzy: To obtain the matches that are less than or equal to 100% perfect when finding the entities in a database.

    For more information on the Matching Type, see the OFS Compliance Studio Matching Guide.

    Scoring Method The scoring methods are as follows:
    • Default
    • Jaro Winkler
    • ML-Boosted Name
    • ML-Boosted Address
    • Levenshtein
    • Individual Name
    • Entity Name

    For more information on the Scoring Method, see the OFS Compliance Studio Matching Guide.

    CED CED (Character Edit Distance) indicates the "fuzziness" for a fuzzy match.
    An edit distance is the number of one-character changes needed to turn one term into another. These changes can include:
    • Changing a character (box → fox)
    • Removing a character (black → lack)
    • Inserting a character (sic → sick)
    • Transposing two adjacent characters (act → cat)

    If no value is selected, CED/ fuzziness is set to AUTO wherein OpenSearch generates an edit distance based on the length of the term. AUTO should generally be the preferred value for fuzziness.
    Group name The name of the Group.
    Group Description The description of the Group.
    Threshold The threshold score. It indicates the score value provided to the attribute. The sum of the total threshold value of all attributes must be from 0 to <=1.

    It indicates that a score below the mentioned value does not generate a result from the matching engine.
    Weightage The weightage. It indicates the weightage given for the attributes in the sum of sub-rules.

    Note: Cumulative of attributes' weightage must not exceed 1. It cannot be null.

    Must This attribute must be populated and must return a value for the matching.
    % if Null It indicates that if a Group has null for one entity for all attributes and no scoring attributes.

    It considers weighted score for mapping is 50% of the weightage.
    Name The name of the Sub Rule.
    Description The description of the Sub Rule.
  3. Click Delete to delete the Rule.