Knowledge discovery tool relationship generation

• US 20060179025A1
• Filed: 02/04/2005
• Published: 08/10/2006
• Est. Priority Date: 02/04/2005
• Status: Abandoned Application

• Current Assignee: Accenture Global Services GmbH (Accenture PLC)
• Original Assignee: Accenture Global Services GmbH (Accenture PLC)
• Inventors: Bechtel, Michael E., Mathur, Sanjay, Arago, Jordi
• Application Number:
  US11/051,745
• Publication Number:
  US 20060179025A1
• Time in Patent Office: Days
• US Class Current: 706/45
• CPC Class Codes: G06N 5/025 Extracting rules from data

Abstract

A system for managing a knowledge model defining a plurality of entities is provided. The system includes an extraction tool for extracting data items from disparate data sources that determines if the data item has been previously integrated into the knowledge model. The system also includes an integration tool for integrating the data item into the knowledge model that integrates the data item into the knowledge model only if the data item has not been previously integrated into the knowledge model. Additionally, a relationship tool for identifying, automatically, a plurality of relationships between the plurality of entities may also be provided. The system may also include a data visualization tool for presenting the plurality of entities and the plurality of relationships.

Claims

1. A system for managing a knowledge model defining a plurality of entities, the system comprising:

an extraction tool for extracting data items from disparate data sources;

an integration tool for integrating the data item into the knowledge model;

a relationship tool for identifying, automatically, a plurality of relationships between the plurality of entities; and

a data visualization tool for presenting the plurality of entities and the plurality of relationships;

where the extraction tool determines if the data item has been previously integrated into the knowledge model, and the integration tool integrates the data item into the knowledge model only if the data item has not been previously integrated into the knowledge model.

2. A method for determining a relationship between a plurality of entities of a knowledge model, the knowledge model having a plurality of entity tables, each of the plurality of entity tables including a plurality of records, each of the plurality of records having a plurality of fields, the method comprising:

retrieving a first relationship definition, the first relationship definition defining a relationship between a first field and a second field;

retrieving a second relationship definition, the second defining a relationship between a third field and a fourth field;

generating, automatically, a transitive relationship definition based in part on the first relationship definition and the second relationship definition.

3. The method of claim 2, wherein the transitive relationship definition is generated if either the first field or the second field is the same as either the third field or the fourth field.

4. The method of claim 2, further comprising

retrieving a third relationship definition,

wherein the transitive relationship definition is generated if the third relationship definition relates either the first or second field to either the third or fourth field.

5. The method of claim 2, further comprising storing the transitive relationship definition in a second relationship table.

6. The method of claim 2 wherein the knowledge model further includes an unstructured data item including text, the method further comprising:

selecting a first selected field from the knowledge model;

analyzing the text of the unstructured data item; and

generating, automatically, a field-to-text relationship definition relating the first selected field to the unstructured data item if the first field is found in the text.

7. The method of claim 6, further comprising storing the field-to-text relationship in a field-to-text relationship database.

8. The method of claim 6, further comprising:

selecting a second selected field from the knowledge model; and

generating, automatically, a proximity relationship definition relating the first selected field to the second selected field if the first selected field and the second selected field are both found in the text.

9. The method of claim 8, wherein the proximity relationship definition is generated if the first selected field and the second selected field are both found in the text within a given number of words of one another.

10. The method of claim 8, wherein the text includes a plurality of paragraphs and the proximity relationship definition is generated if the first selected field and the second selected field are both found in the text within the same paragraph.

11. The method of claim 8, wherein the proximity relationship definition is generated if the first selected field and the second selected field are both found in the text a given number of times.

12. A system for determining a relationship between a plurality of entities of a knowledge model, the knowledge model having a plurality of entity tables, each of the plurality of entity tables including a plurality of records, each of the plurality of records having a plurality of fields, the system comprising:

a retrieval tool adapted for retrieving a first relationship definition, the first relationship definition defining a relationship between a first field and a second field, and retrieving a second relationship definition, the second defining a relationship between a third field and a fourth field;

a relationship generation tool adapted for generating, automatically, a transitive relationship definition based in part on the first relationship definition and the second relationship definition.

13. The system of claim 12, wherein the relationship generation tool is further adapted for generating the transitive relationship definition if either the first field or the second field is the same as either the third field or the fourth field.

14. The system of claim 12, wherein the retrieval tool is further adapted for retrieving a third relationship definition, and wherein the relationship generation tool is further adapted for generating the transitive relationship definition if the third relationship definition relates either the first or second field to either the third or fourth field.

15. The system of claim 12, wherein the relationship generation tool is further adapted for storing the transitive relationship definition in a second relationship table.

16. The system of claim 12 wherein the knowledge model further includes an unstructured data item including text, and

wherein the relationship generation tool is further adapted for selecting a first selected field from the knowledge model, analyzing the text of the unstructured data item, and generating, automatically, a field-to-text relationship definition relating the first selected field to the unstructured data item if the first field is found in the text.

17. The system of claim 16, wherein the relationship generation tool is further adapted for storing the field-to-text relationship in a field-to-text relationship database.

18. The system of claim 16, wherein the relationship generation tool is further adapted for selecting a second selected field from the knowledge model, and generating, automatically, a proximity relationship definition relating the first selected field to the second selected field if the first selected field and the second selected field are both found in the text.

19. The system of claim 18, wherein the relationship generation tool is further adapted for generating the proximity relationship definition if the first selected field and the second selected field are both found in the text within a given number of words of one another.

20. The system of claim 18, wherein the text includes a plurality of paragraphs and the relationship generation tool is further adapted for generating the proximity relationship definition if the first selected field and the second selected field are both found in the text within the same paragraph.

21. The system of claim 18, wherein the relationship generation tool is further adapted for generating the proximity relationship definition if the first selected field and the second selected field are both found in the text a given number of times.