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:
Oct. 13, 2020

Filed:

Mar. 16, 2018
Applicant:

Accenture Global Solutions Limited, Dublin, IE;

Inventors:

Luca Costabello, Newbridge, IE;

Penelope Tsatsoulis, Dublin, IE;

Utsab Barman, Coochbehar, IN;

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 16/25 (2019.01); G06F 16/901 (2019.01); G06F 16/9038 (2019.01); G06F 16/532 (2019.01); G06F 16/632 (2019.01); G06F 16/2452 (2019.01); G06N 5/04 (2006.01); H04L 29/08 (2006.01);
U.S. Cl.
CPC ...
G06N 5/045 (2013.01); G06F 16/254 (2019.01); G06F 16/9024 (2019.01); G06F 16/9038 (2019.01); H04L 67/12 (2013.01); G06F 16/24522 (2019.01); G06F 16/532 (2019.01); G06F 16/632 (2019.01);
Abstract

A system for providing integrated monitoring and communications of diagnostic equipment is disclosed. The system may comprise a data access interface, a processor, and an output interface. The data access interface may receive heterogeneous data from a plurality of machine and sensor equipment associated with performance of a system or product. The data access interface may also to receive a user inquiry pertaining to the system and product. The processor may generate a knowledge graph based on the data associated with the system or product, as well as convert the user inquiry into a knowledge graph query by: extracting entities from the user inquiry; extracting relations from the user inquiry to identify relationships between entities; expanding the user inquiry using the knowledge graph and the entities and relations; and translating the inquiry into knowledge graph triples. The processor may then identify relevant nodes and edges based on the knowledge graph query and the knowledge graph, and determine an answer to the user inquiry.


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