Concept knowledge base search and retrieval system
Patent 6038560 Issued on March 14, 2000. Estimated Expiration Date: May 21, 2017. Estimated Expiration Date is calculated based on simple USPTO term provisions. It does not account for terminal disclaimers, term adjustments, failure to pay maintenance fees, or other factors which might affect the term of a patent.
A knowledge base search and retrieval system, which includes factual knowledge base queries and concept knowledge base queries, is disclosed. A knowledge base stores associations among terminology/categories that have a lexical, semantical or usage association. Document theme vectors identify the content of documents through themes as well as through classification of the documents in categories that reflects what the documents are primarily about. The factual knowledge base queries identify, in response to an input query, documents relevant to the input query through expansion of the query terms as well as through expansion of themes. The concept knowledge base query does not identify specific documents in response to a query, but specifies terminology that identifies the potential existence of documents in a particular area.
Other References
Cox, John "`Text-Analysis` Server to Simplify Queries", Communications Week, Apr. 19, 1993
"Verity finds the Topic," The Seybold Report on Publishing Systems, vol. 19(4), Oct. 1989
D.R. Cutting, et al., "Constant interaction-time scatter/gather browsing of very large document collections," Proc. Sixteenth annual international ACM SIGIR Conf. on Research and Development in Information Retrieval, pp. 126-134, Dec. 1993
R.B. Allen "An Interface for Navigating Clustered Document Sets Returned by Queries," Proc. of the Conf. on Organizational Computing Systems, pp. 166-171, Dec. 1993
E.D. Liddy, et al., "Text Categorization for Multiple Users Based on Semantic Features from a Machine-Radable Dictionary," ACM TRansactions on Information Systems, vol. 12(3), pp. 278-295, Jul. 1994
R.B. Allen, "Two Digital Library Interfaces that Exploit Hierarchical Structure," DAGS95: Electronic Publishing and the Information Superhighway, (10 pages), May 1995
A. Celentano, et al., "Knowledge-based Document Retrieval in Office Environments: the Kabiria System," ACM TRans. on Information Systems, vol. 13(30, pp. 237-268, Jul. 1995
M. Iwayama and T. Tokunaga, "Cluster-based Text Categorization: a Comparison of Category Search Strategies," Proc. 18th Annual Int'l. ACM SIGIR Conf. on Research and DEvelopment in Information Retrieval, pp. 273-280, Dec. 1995
G. Salton, et al., "Automatic Text Decomposition Using Text Segments and Text Themes," Proc. Seventh ACM Conf. on Hypertext '96, pp. 53-65, Dec. 1996
P. Pirolli, et al., "Scatter/Gather Browsing Communicates the Topic Structure of a Very Large Text Collection," Conf. Proc. on Human Factors in Computing Systems, pp. 213-220, Dec. 199