System, method, and computer program product for combination of cognitive causal models with reasoning and text processing for knowledge driven decision support

• US 20050197992A1
• Filed: 03/02/2005
• Published: 09/08/2005
• Est. Priority Date: 03/03/2004
• Status: Active Grant

• Current Assignee: The Boeing Co.
• Original Assignee: The Boeing Co.
• Inventors: Harrison, Philip, Kipersztok, Oscar
• Granted Patent: US 7,644,053 B2
• Time in Patent Office: Days
• US Class Current: 706/50
• CPC Class Codes: G06F 16/353 into predefined classes
• CPC Class Codes: G06F 40/30 Semantic analysis
• CPC Class Codes: G06N 5/04 Inference or reasoning models

Abstract

A system, method, and computer program product for combining causal domain models with reasoning and text processing for knowledge driven decision support are provided. A knowledge driven decision support system is capable of creating a domain model, extracting and processing quantities of text according to the domain model, and generating understanding of the content and implications of information sensitive to analysts. An interface may be used to receive input to model complex relationships of a domain, establish implications of interest or request a query, and update the causal model. A processing element can capture and process text into text profiles by incorporating the domain model and process the text profiles in accordance with the domain model by applying formal reasoning to the information to derive trends, predict events, or arrive at other query results. An output element can provide a user the resulting information related to the domain model.

Claims

1. A system for assisting knowledge driven decision support, comprising:

a domain model defining at least two domain concepts and at least one causal relationship between the domain concepts;

a text processing tool capable of using at least one domain concept of the domain model to analyze at least one document; and

a reasoning tool for employing the domain model by using at least of one domain concept and one causal relationship of the domain concept to analyze at least one document for determining a result;

wherein the reasoning tool is capable of using the text processing tool to employ the domain model.

2. The system of claim 1, wherein the text processing tool comprises:

a text acquisition tool for acquiring text from at least one document.

3. The system of claim 2, wherein the text acquisition tool comprises:

a data mining tool for mining at least one document;

a document retrieval tool for retrieving at least one mined document; and

a text extraction tool for extracting text from at least one retrieved document to provide acquired text.

4. The system of claim 2, wherein the text acquisition tool further comprises:

a text profiling tool for profiling the acquired text, wherein the text profiling tool is capable of using the domain model to create text profiles of the acquired text.

5. The system of claim 1, wherein the reasoning tool comprises:

a transformation routine capable of transforming the domain model into a mathematical formalization of the domain model.

6. The system of claim 1, wherein the reasoning tool comprises a Bayesian network belief update algorithm.

7. The system of claim 1, further comprising:

a common sense knowledge base for use by at least one of the text processing tool and the reasoning tool.

8. The system of claim 1, further comprising:

an interface capable of receiving input for creating the domain model.

9. The system of claim 1, further comprising:

an interface capable of receiving input for creating the domain model;

a processing element capable of transforming the domain model into a mathematical formalization of the domain model, communicating with the text processing tool for analyzing text of documents in accordance with the domain model to create text profiles, and communicating with the reasoning tool for performing reasoning analysis upon the text profiles in accordance with the domain model using the mathematical formalization of the domain model to derive a result; and

an output element capable of presenting the result.

10. The system of claim 9, wherein the domain model comprises a plurality of domain concept nodes associated with domain concepts and interconnected by relationship arcs associated with causal relationships between the domain concepts in a manner defined by at least one of the input relating to the creation of the domain model, the processing of text, and the performance of reasoning analysis.

11. A method of supporting a decision, comprising:

providing a domain model representing domain concepts and causal relationships between the domain concepts;

analyzing processed text with the domain model to derive text profiles;

transforming the domain model into a formalism; and

performing reasoning analysis of the text profiles according to the formalism.

12. The method of claim 11, further comprising the step of:

creating the domain model by defining domain concepts and causal relationships, wherein at least one of a domain concept and a causal relationship are used to derive text profiles, formalize the domain model, and perform reasoning analysis.

13. The method of claim 11, wherein the step of performing reasoning analysis comprises performing a Bayesian network belief update algorithm.

14. The method of claim 11, wherein the step of performing reasoning analysis comprises performing a predictive analysis inference algorithm.

15. The method of claim 11, further comprising the step of:

modifying the domain model to define a query.

16. The method of claim 11, further comprising the step of:

validating the domain model.

17. The method of claim 11, further comprising the step of:

updating the domain model.

18. The method of claim 11, further comprising the step of acquiring text for analyzing with the domain model, wherein the step of acquiring text comprises the steps of:

mining external sources for documents;

retrieving the mined documents from the external sources; and

extracting acquired text from the retrieved documents.

19. The method of claim 18, further comprising the step of processing the acquired text to derive the processed text.

20. The method of claim 19, wherein the step of processing the acquired text comprises the steps of:

relevance filtering the acquired text for relevance to the domain model; and

event filtering the acquired text for events associated with the domain model.

21. The method of claim 18, further comprising the step of processing the acquired text to derive the processed text.

22. The method of claim 21, wherein the step of processing the acquired text uses a common sense knowledge base, and wherein the common sense knowledge base is generated by the steps of:

extracting knowledge from a corpus of text, wherein the extracted knowledge is transformed into formal logic representing the extracted knowledge; and

manually capturing knowledge, wherein the captured knowledge is transformed into formal logic representing the captured knowledge.

23. A computer program product comprising a computer-useable medium having control logic stored therein for causing a processor to support a decision using a domain model, the control logic comprising:

a first code for causing the processor to provide the domain model;

a second code for causing the processor to analyze processed text with the domain model to derive text profiles;

a third code for causing the processor to transform the domain model into a formalism; and

a fourth code for causing the processor to perform reasoning analysis of the text profiles according to the formalism.

24. The computer program product of claim 23, wherein the control logic further comprises:

a fifth code for causing the processor to modify the domain model to define a query.

25. The computer program product of claim 23, wherein the control logic further comprises:

a sixth code for causing the processor to validate the domain model.

26. The computer program product of claim 23, wherein the control logic further comprises:

a seventh code for causing the processor to acquire text for analyzing with the domain model.

27. The computer program product of claim 26, wherein the seventh code comprises:

an eighth code for causing the processor to mine external sources for documents;

a ninth code for causing the processor to retrieve the mined documents from the external sources; and

a tenth code for causing the processor to acquire text from the retrieved documents.

28. The computer program product of claim 26, wherein the seventh code comprises:

an eleventh code for causing the processor to process the acquired text to derive the processed text.

29. The computer program product of claim 28, wherein the eleventh code comprises:

a twelfth code for causing the processor to filter the acquired text for relevance to the domain model; and

a thirteenth code for causing the processor to filter the acquired text for events associated with the domain model.