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:
Nov. 23, 2021

Filed:

Mar. 20, 2017
Applicant:

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

Inventors:

Bortik Bandyopadhyay, Yorktown Heights, NY (US);

Rajesh Bordawekar, Yorktown Heights, NY (US);

Tin Kam Ho, Millburn, NJ (US);

Attorneys:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06F 16/33 (2019.01); G06F 16/28 (2019.01); G06F 16/903 (2019.01); G06F 16/31 (2019.01); G06N 20/00 (2019.01);
U.S. Cl.
CPC ...
G06F 16/3347 (2019.01); G06F 16/284 (2019.01); G06F 16/313 (2019.01); G06F 16/90335 (2019.01); G06N 20/00 (2019.01);
Abstract

A computer-implemented method, cognitive intelligence system and computer program product adapt a relational database containing multiple data types. Non-text tokens in the relational database are converted to a textual form. Text is produced based on relations of tokens in the relational database. A set of word vectors is produced for the tokens based on the text. A cognitive intelligence query expressed as a structured query language (SQL) query may be applied to the relational database using the set of word vectors. The form of non-text tokens is one of a numeric value, an SQL type, an image, a video, a time series, latitude and longitude, or chemical structures. A single word embedding model may be applied over one or more tokens in the text. A plurality of sets of preliminary word vectors are computed by applying more than one embedding model over all tokens in the text. The preliminary word vector sets are merged to form the set of word vectors.


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