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:
Sep. 01, 2015
Filed:
May. 09, 2013
International Business Machines Corporation, Armonk, NY (US);
Rahul P. Akolkar, Tuckahoe, NY (US);
Thomas E. Chefalas, Somers, NY (US);
Yexi Jiang, Miami, FL (US);
Jim A. Laredo, Katonah, NY (US);
Chang-Shing Perng, Goldens Bridge, NY (US);
Anca Sailer, Scarsdale, NY (US);
Frank A. Schaffa, Hartsdale, NY (US);
Alla Segal, Mount Kisco, NY (US);
Ignacio Silva-Lepe, Putnam Valley, NY (US);
Tao Tao, Hawthorne, NY (US);
Yang Zhou, Atlanta, GA (US);
INTERNATIONAL BUSINESS MACHINES CORPORATION, Armonk, NY (US);
Abstract
A natural language specification of at least one high level information technology services requirement is obtained from a user, via a conversational interface; the same is parsed into first pre-defined semi-structured data, using a conversation parser. Based on the first pre-defined semi-structured data, a subset of candidate information technology services is identified, with a dialog engine, from a plurality of candidate information technology services provided by a plurality of vendors, the dialog engine is used to formulate a response including second pre-defined semi-structured data. The response is reverse-parsed into a natural language response, using the conversation parser. The natural language response includes a question for the user to assist in further refining the subset of candidate information technology services; the natural language response is presented to the user via the conversational interface.