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:
Jan. 26, 2021

Filed:

Sep. 13, 2018
Applicant:

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

Inventors:

Victoria Lee Guerra, Yorktown Heights, NY (US);

Larisa Shwartz, Greenwich, CT (US);

John R. Davis, Winchester, GB;

Jinho Hwang, Ossining, NY (US);

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06F 40/30 (2020.01); G06K 9/62 (2006.01); G06N 20/00 (2019.01); G06F 16/35 (2019.01); G06F 16/36 (2019.01); G06F 16/9032 (2019.01);
U.S. Cl.
CPC ...
G06F 40/30 (2020.01); G06F 16/35 (2019.01); G06F 16/367 (2019.01); G06F 16/90332 (2019.01); G06K 9/6256 (2013.01); G06N 20/00 (2019.01);
Abstract

Embodiments are directed to computer-implemented methods of operating a monitoring host of a performance management infrastructure. The method includes receiving, using natural language processing (NLP) algorithms, training data that includes operational data and functionality data. The operational data represents natural language descriptions of performance problems identified for an application computer program running a computing system. The functionality data represents natural language descriptions of functional capabilities of the application computer program. The NLP algorithms and a classifier are used to extract features of the training data. The extracted features are used to build a semantic correlation model that includes correlated data sets, wherein each of the correlated data sets includes functionality data and operational data having a semantic correlation to functionality data. One of the correlated data sets is selected and used to create an application monitoring algorithm configured to submit requests to and receive responses from the application computer program.


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