System and method for knowledge research

• US 8,311,999 B2
• Filed: 03/12/2010
• Issued: 11/13/2012
• Est. Priority Date: 03/13/2009
• Status: Expired due to Fees

• Current Assignee: IHS Global Incorporated (Markit Group Ltd.)
• Original Assignee: Invention Machine Corporation (S&P Global Inc.)
• Inventors: Todhunter, James, Bialiauski, Yaraslau, Brykman-Weiser, Laurie Yael
• Primary Examiner(s): LEROUX, ETIENNE PIERRE
• Application Number:
  US12/723,479
• Publication Number:
  US 20100235340A1
• Time in Patent Office: 977 Days
• Field of Search: 707/2, 707/3, 707/706, 709/223
• US Class Current: 707/706
• CPC Class Codes: G06F 16/9535 Search customisation based on user profiles and personalisation

Abstract

Knowledge research and mapping system and method automatically construct a knowledge research map representing the researched topics, their inter-relationships, and related responses retrieved through the processing of, for example, a natural language or Boolean query that is automatically submitted via a knowledge search tool to a database.

Claims

1. A computer-based method of knowledge research and mapping, the method comprising:

providing at least one computer processor coupled to at least one non-transitory storage medium, the at least one computer processor performing a set of processing tasks, including;

generating a research knowledge map using an entity-relationship model comprising entity-relationship-entity triplets, including representing topics determined from the one or more queries as entities and determining relationships between entities from an informational taxonomy;

receiving a query related to a domain of research;

storing the query in the research knowledge map in the at least one computer storage medium;

automatically submitting the query to one or more knowledge bases;

filtering one or more responses to the query into response relationship subsets; and

linking one or more of the responses from the response relationship subsets to the stored query in the research knowledge map,

wherein the knowledge map provides interrelated information for one or more queries within the domain of research.

2. The method according to claim 1, wherein the entities representing one or more queries have linked to them one or more responses to the queries.

3. The method according to claim 1, wherein the response relationship subsets are classified as sub-groups of the one or more responses to the query that are related through a common relationship of information taxonomy with the query.

4. The method according to claim 1, wherein submitting the query to one or more knowledge bases comprises submitting the query to a knowledge search engine and automatically formatting the query to be compatible with the knowledge search engine.

5. The method according to claim 4, including formatting the query as either a natural language query or a keyword query.

6. The method according to claim 4, wherein the knowledge search engine comprises a semantic indexing and search tool and the one or more knowledge bases comprise a semantic analysis knowledge base.

7. The method according to claim 1, wherein the knowledge bases comprise one or more knowledge bases selected from a group consisting of:

one or more locally accessible knowledge bases;

one or more knowledge bases containing corporate knowledge; and

one or more publicly accessible knowledge bases.

8. The method of claim 1, further comprising:

recording user interactions during a research session related to the query and storing machine representations of the user interactions in the research knowledge map.

9. A knowledge research and mapping system, comprising:

at least one computer processor coupled to at least one non-transitory storage medium;

a research knowledge map stored in the at least one non-transitory storage medium and generated by the at least one processor using an entity-relationship model comprising entity-relationship-entity triplets, such that topics determined from the one or more queries are represented as entities and relationships between entities are determined based on an informational taxonomy;

a query input module that;

receives a query related to a domain of research;

stores the query in the research knowledge map; and

submits the query to one or more knowledge bases;

a results presenter that filters one or more responses to the query into response relationship subsets; and

a research event recorder that links one or more responses from the response relationship subsets to the stored query in the research knowledge map,

wherein the knowledge map provides interrelated information for one or more queries within the domain of research.

10. The system of claim 9, wherein the entities representing one or more queries have linked to them one or more responses to the queries.

11. The system of claim 9, wherein the response relationship subsets are classified as sub-groups of the one or more responses to the query that are related through a common relationship of information taxonomy with the query.

12. The system of claim 9, wherein the query input module submits the query to a knowledge search engine and formats the query to be compatible with the knowledge search engine.

13. The system of claim 12, wherein the query is formatted as either a natural language query or a keyword query.

14. The system of claim 12, wherein the knowledge search engine comprises a semantic indexing and search tool and the one or more knowledge bases comprise a semantic analysis knowledge base.

15. The system of claim 9, wherein the knowledge bases comprise one or more knowledge bases selected from a group consisting of:

one or more locally accessible knowledge bases;

one or more knowledge bases containing corporate knowledge; and

one or more publicly accessible knowledge bases.

16. The system of claim 9, wherein the research event recorder records user interactions during a research session related to the query and stores machine representations of the user interactions in the research knowledge map.

17. A computer program product having computer-executable instructions stored in at least one non-transitory computer-readable medium, which perform a method of knowledge research and mapping when executed by at least one processor, the method comprising:

generating a research knowledge map using an entity-relationship model comprising entity-relationship-entity triplets, including representing topics determined from the one or more queries as entities and determining relationships between entities from an informational taxonomy;

receiving a query related to a domain of research;

storing the query in the research knowledge map in the at least one computer storage medium;

automatically submitting the query to one or more knowledge bases;

filtering one or more responses to the query into response relationship subsets; and

linking one or more of the responses from the response relationship subsets to the stored query in the research knowledge map,

wherein the knowledge map provides interrelated information for one or more queries within the domain of research.