AUTOMATED CALIBRATION OF NEGATIVE FIELD WEIGHTING WITHOUT THE NEED FOR HUMAN INTERACTION

• US 20090287689A1
• Filed: 04/24/2009
• Published: 11/19/2009
• Est. Priority Date: 04/24/2008
• Status: Active Grant

• Current Assignee: LexisNexis Risk Solutions, Inc. (RELX PLC)
• Original Assignee: LexisNexis Risk & Information Analytics Group, Inc. (RELX PLC)
• Inventors: BAYLISS, David Alan
• Granted Patent: US 8,135,681 B2
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06F 16/215 Improving data quality; Data cleansing, e.g. de-duplication, removing invalid entries or correcting typographical errors
• CPC Class Codes: G06F 16/2246 Trees, e.g. B+trees
• CPC Class Codes: G06F 16/24 Querying
• CPC Class Codes: G06F 16/245 Query processing
• CPC Class Codes: G06F 16/2455 Query execution
• CPC Class Codes: G06F 16/282 Hierarchical databases, e.g. IMS, LDAP data stores or Lotus Notes
• CPC Class Codes: G06F 16/285 Clustering or classification
• CPC Class Codes: G06F 16/35 Clustering; Classification
• CPC Class Codes: G06F 16/951 Indexing; Web crawling techniques

Abstract

Disclosed is a system for, and method of, calculating parameters used to determine whether records and entity representations should be linked. Such parameters may be set as negative to account for fields that do not match. The system and method apply iterative techniques such that parameters from each linking iteration are used in the next linking iteration. The system and method need no human interaction in order to calibrate and utilize record matching formulas used for the linking decisions.

Claims

1. A computer implemented iterative process for generating entity representations in a computer implemented database using a record matching formula and for generating parameters for the record matching formula, the database comprising a plurality of records, each record comprising a plurality of fields, each field capable of containing a field value, the process comprising:

calculating a field weight for a selected field, the field weight for the selected field derived from each of a plurality of field value weights for the selected field;

forming a plurality of entity representations in the database, each entity representation comprising at least two records linked using a first instance of the record matching formula, at least one entity representation comprising a first record linked to a second record using a first instance of the record matching formula wherein the first record comprises a different field value in its selected field than that of the second record, the first instance of the record matching formula comprising a negative of the field weight for the selected field;

calculating a weight parameter for the selected field, the weight parameter for the selected field reflecting a likelihood that an arbitrary entity representation in the database comprises two different records each comprising a different field value in its respective selected field, the weight parameter being a negative number;

linking at least two entity representations in the database based on a second instance of the record matching formula, wherein the second instance of the record matching formula comprises the weight parameter, whereby a number of entity representations in the database is reduced by the linking at least two entity representations relative to a number of entity representations in the database prior to the linking at least two entity representations; and

retrieving information from at least one record in the database.

2. The process of claim 1 wherein each of the plurality of field value weights reflects a likelihood that an arbitrary record in the database comprises a different field value in the selected field of the arbitrary record.

3. The process of claim 1 wherein the weight parameter comprises a probability that that an arbitrary entity representation in the database contains a same field value in the selected field of each record comprising the arbitrary entity representation.

4. The process of claim 1, further comprising:

calculating a plurality of revised field value weights, each revised field value weight reflecting a likelihood that an arbitrary entity representation in the database comprises a different field value in the selected field of a record in the arbitrary entity representation; and

calculating a revised field weight for the selected field, the revised field weight for the selected field derived from each of the plurality of revised field value weights;

wherein the weight parameter comprises a product of the revised field weight and a probability that an arbitrary entity representation in the database comprises two different records each comprising a different field value in its respective selected field.

5. The process of claim 1 wherein the weight parameter comprises a negative logarithm of a probability that an arbitrary entity representation in the database comprises two different records each comprising a different field value in its respective selected field, the weight parameter being a negative number.

9. The system of claim 1, further comprising:

a processor programmed to calculate a plurality of revised field value weights, each revised field value weight reflecting a likelihood that an arbitrary entity representation in the database comprises a different field value in the selected field of a record in the arbitrary entity representation; and

a processor programmed to calculate a revised field weight for the selected field, the revised field weight for the selected field derived from each of the plurality of revised field value weights;

wherein the weight parameter comprises a product of the revised field weight and a probability that an arbitrary entity representation in the database comprises two different records each comprising a different field value in its respective selected field.

6. A computer system for iteratively generating entity representations in a computer implemented database using a record matching formula and for generating parameters for the record matching formula, the database comprising a plurality of records, each record comprising a plurality of fields, each field capable of containing a field value, the system comprising:

a database comprising a plurality of records, each record comprising a plurality of fields, each field capable of containing a field value;

a processor programmed to calculate a field weight for a selected field, the field weight for the selected field derived from each of a plurality of field value weights for the selected field;

a processor programmed to form and store a plurality of entity representations in the database, each entity representation comprising at least two records linked using a first instance of the record matching formula, at least one entity representation comprising a first record linked to a second record using a first instance of the record matching formula wherein the first record comprises a different field value in its selected field than that of the second record, the first instance of the record matching formula comprising a negative of the field weight for the selected field;

a processor programmed to calculate a weight parameter for the selected field, the weight parameter for the selected field reflecting a likelihood that an arbitrary entity representation in the database comprises two different records each comprising a different field value in its respective selected field, the weight parameter being a negative number; and

a processor programmed to link and store at least two entity representations in the database based on a second instance of the record matching formula, wherein the second instance of the record matching formula comprises the weight parameter, whereby a number of entity representations in the database is reduced by the linking at least two entity representations relative to a number of entity representations in the database prior to the linking at least two entity representations.

7. The system of claim 6 wherein each of the plurality of field value weights reflects a likelihood that an arbitrary record in the database comprises a different field value in the selected field of the arbitrary record.

8. The system of claim 6 wherein the weight parameter comprises a probability that that an arbitrary entity representation in the database contains a same field value in the selected field of each record comprising the arbitrary entity representation.

10. The system of claim 6 wherein the weight parameter comprises a negative logarithm of a probability that an arbitrary entity representation in the database comprises two different records each comprising a different field value in its respective selected field, the weight parameter being a negative number.