METHOD AND SYSTEM FOR SMART MARK-UP OF NATURAL LANGUAGE BUSINESS RULES

• US 20110004464A1
• Filed: 07/02/2009
• Published: 01/06/2011
• Est. Priority Date: 07/02/2009
• Status: Active Grant

• Current Assignee: International Business Machines Corporation
• Original Assignee: International Business Machines Corporation
• Inventors: Martino, Jacquelyn A., Uceda-Sosa, Rosario A., Matchen, Paul M.
• Granted Patent: US 8,862,457 B2
• Time in Patent Office: Days
• US Class Current: 704/9
• CPC Class Codes: G06F 40/279 Recognition of textual entities

Abstract

Smart Mark-up or highlighting delimits a rule using ontology technology to identify words and fields as objects and/or possible values in the rule. These technologies support the user in formalizing parts of the rules in a manner consistent with the system'"'"'s data.

Claims

1. A computer-implemented method for transforming a natural language expression into a formal logical expression, comprising:

identifying using a database of ontology, words in a natural language expression as resources, constants and comparisons, the resources being associated with meta data that specify when to use the words of the resources;

using the identified words representing resources, constants and comparisons to build a formal logical expression; and

presenting the formal logical expression on a user interface device.

2. The method of claim 1, further including building a parse tree of the natural language expression and wherein the step of identifying is performed using the parse tree.

3. The method of claim 2, further including adding words unrecognizable by the ontology into the database of ontology.

4. The method of claim 2, further including storing unrecognized words in the parse tree as comments.

5. The method of claim 1, wherein the natural language expression is a part of a rule expressed in natural language and a plurality of natural language expressions are built into a plurality of formal logical expressions to form an aggregated formal logical expression.

6. The method of claim 1, refining the built formal logical expression based on user input.

7. The method of claim 1, wherein the natural language expression is selected as a portion of a rule entered via a user interface rule pad.

8. The method of claim 1, wherein the natural language expression comprises a business rule.

9. The method of claim 8, wherein the natural language expression is manually entered.

10. The method of claim 8, wherein the natural language expression is an existing policy.

12. The system of claim 1, wherein the processing module is further operable to build a parse tree of the natural language expression, the processing module identifying the words using the parse tree.

13. The system of claim 12, wherein the processing module is further operable to add words unrecognizable by the ontology into the database of ontology.

14. The system of claim 12, wherein the processing module is further operable to store unrecognized words in the parse tree as comments.

11. A system for transforming a natural language expression into a formal logical expression, comprising:

a user interface module operable to present at least a rule pad section and a rule editor section, the rule pad section for entering a rule in natural language expression, and the rule editor section for presenting formalized rules;

a database of ontology storing word concepts and relations; and

a processing module operable to identify words of a natural expression in the rule as resources, constants and comparisons using the ontology, the resources being associated with meta data that specify when to use the words of the resources, and build a formal logical expression, said formal logical expression being presented via the rule editor section.

15. The system of claim 11, wherein the natural language expression is a part of a rule expressed in natural language and a plurality of natural language expressions are built into a plurality of formal logical expressions to form an aggregated formal logical expression.

16. The system of claim 11, wherein the built formal logical expression is refined based on user input.

17. The system of claim 11, wherein the natural language expression is selected as a portion of a rule entered via the rule pad section of the user interface module.

18. The system of claim 11, wherein the natural language expression comprises a business rule.

19. The system of claim 18, wherein the natural language expression is manually entered.

20. The system of claim 18, wherein the natural language expression is an existing policy.

21. A program storage device readable by a machine, tangibly embodying a program of instructions executable by the machine to perform a method of transforming a natural language expression into a formal logical expression, comprising:

identifying using a database of ontology, words in a natural language expression as resources, constants and comparisons, the resources being associated with meta data that specify when to use the words of the resources; and

using the identified words representing resources, constants and comparisons to build a formal logical expression.

22. The program storage device of claim 21, further including building a parse tree of the natural language expression and wherein the step of identifying is performed using the parse tree.

23. The program storage device of claim 22, further including adding words unrecognizable by the ontology into the database of ontology.

24. The program storage device of claim 22, further including storing unrecognized words in the parse tree as comments.

25. The program storage device of claim 21, wherein the natural language expression is a part of a rule expressed in natural language and a plurality of natural language expressions are built into a plurality of formal logical expressions to form an aggregated formal logical expression.