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:
May. 13, 2025
Filed:
Apr. 30, 2021
International Business Machines Corporation, Armonk, NY (US);
Maira G. De Bayser, Rio de Janeiro, BR;
Geeth Ranmal De Mel, Warrington, GB;
Mathias B. Steiner, Rio de Janeiro, BR;
Mohab Elkaref, Manchester, GB;
Ronaldo Giro, São Paulo, BR;
Bruce Gordon Elmegreen, Goldens Bridge, NY (US);
Christopher R. Gibson, Winchester, GB;
David Boaz, Bahan, IL;
David S. Braines, Fareham, GB;
Dean Clarke, Warrington, GB;
Dmitry Zubarev, San Jose, CA (US);
Flaviu Cipcigan, Warrington, GB;
Kristin Schmidt, Mountain View, CA (US);
Lori French, Yorktown Heights, NY (US);
Stacey Gifford, Ridgefield, CT (US);
INTERNATIONAL BUSINESS MACHINES CORPORATION, Armonk, NY (US);
Abstract
A computer implemented method for generating query results includes generating by a computer processor, a training model through artificial intelligence. The training model is based on annotated data. A knowledge base for a subject matter is generated based on the training model. The knowledge base is based on content from document sources related to the subject matter. A natural language query input is received. An intent and requirements for satisfying the intent is inferred by the computer processor. The knowledge base is referenced to extract information related to the intent and requirements, from documents in the knowledge base. Relationships between the extracted information and the requirements are correlated from the documents in the knowledge base. Query results are displayed to the user. The query results are based on the correlated relationships.