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.

Date of Patent:
Jun. 09, 2020

Filed:

Jan. 09, 2018
Applicant:

International Business Machines Corporation, Armonk, NY (US);

Inventors:

Martin Hirzel, Ossining, NY (US);

Avraham Ever Shinnar, Hawthorne, NY (US);

Jerome Simeon, New York, NY (US);

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06F 16/00 (2019.01); G06F 40/20 (2020.01); G10L 15/22 (2006.01); G10L 15/26 (2006.01); G10L 15/18 (2013.01); G06F 16/21 (2019.01); G06F 40/30 (2020.01); G06F 40/35 (2020.01); G06F 40/56 (2020.01); G06F 40/295 (2020.01); G06F 8/10 (2018.01);
U.S. Cl.
CPC ...
G06F 40/20 (2020.01); G06F 16/212 (2019.01); G06F 40/295 (2020.01); G06F 40/30 (2020.01); G06F 40/35 (2020.01); G06F 40/56 (2020.01); G10L 15/18 (2013.01); G10L 15/22 (2013.01); G10L 15/26 (2013.01); G06F 8/10 (2013.01);
Abstract

A method and a system for interpreting conversational authoring of information models. The system includes an understanding module, a managing module, and a generating module. The understanding module is configured to understand a natural language input to interpret an output. The managing module is configured to construct an information model based on the output of the understanding module. The generating module configured is to prompt, as a response to the natural language inputs, wherein the natural language inputs determine concepts and relationships of the concepts. The method includes receiving an interactive dialog between a conversational agent and an information model designer in natural language to produce an information model. The method can further include validating the information model using an information model management system. The method can include interpreting the information model with the use of an application.


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