The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.
The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.
Patent No.:
Date of Patent:
Jul. 15, 2008
Filed:
Dec. 16, 2002
Paul Edward Cuddihy, Ballston Lake, NY (US);
Jeremiah Francis Donoghue, Ballston Lake, NY (US);
Steven Hector Azzaro, Schenectady, NY (US);
Timothy Lee Johnson, Niskayuna, NY (US);
Daniel Joseph Cleary, Schenectady, NY (US);
Lijie Yu, Clifton Park, NY (US);
Paul Edward Cuddihy, Ballston Lake, NY (US);
Jeremiah Francis Donoghue, Ballston Lake, NY (US);
Steven Hector Azzaro, Schenectady, NY (US);
Timothy Lee Johnson, Niskayuna, NY (US);
Daniel Joseph Cleary, Schenectady, NY (US);
Lijie Yu, Clifton Park, NY (US);
General Electric Company, Niskayuna, NY (US);
Abstract
The present invention provides a computer implemented method for maintaining a knowledge base. The method taking as input, text examples that are tagged with a structural markup language; and maps knowledge nodes in the knowledge base with the tagged examples to determine: (1) the knowledge nodes that best match the tagged examples, and (2) the knowledge nodes that are best connected to the tagged examples. The results are displayed to the user, who verifies that the tagged examples match the selected knowledge nodes. Based on the user response, indices of the knowledge nodes are updated. The method may further include determining discrepancies between the existing knowledge base and the tagged examples, and further displaying the discrepancies to the user. The user can update the missing information in the knowledge base to remove the discrepancies in the existing knowledge base.