US2018189658A1PendingUtilityA1

Method for Performing Graph Query Operations within a Cognitive Environment

Assignee: COGNITIVE SCALE INCPriority: Jun 9, 2014Filed: Mar 1, 2018Published: Jul 5, 2018
Est. expiryJun 9, 2034(~7.9 yrs left)· nominal 20-yr term from priority
G06N 5/022G06F 17/30539G06F 16/2465
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Claims

Abstract

A method for providing cognitive insights via a cognitive information processing system comprising: receiving data from a plurality of data sources; receiving and processing queries; and, bridging the queries into a cognitive graph.

Claims

exact text as granted — not AI-modified
1 . A method for providing cognitive insights via a cognitive information processing system environment, the cognitive information processing system environment comprising a cognitive inference and learning system executing on a hardware processor of an information processing system, the cognitive inference and learning system comprising a cognitive platform, the method comprising:
 receiving data from a plurality of data sources, the plurality of data sources comprising at least one of a social data source stored in a social data repository, public data source stored in a public data repository, licensed data source stored in a licensed data repository and proprietary data source stored in a proprietary data repository;   performing cognitive computing operations via the cognitive inference and learning system, the cognitive computing operations comprising at least one of performing a spatial navigation operation, a machine vision operation and a pattern recognition operation on at least some of the data from the plurality of data sources;   receiving and processing queries via the cognitive platform; and,   bridging the queries into a cognitive graph, the cognitive graph being derived from the plurality of data sources, the cognitive graph enabling the cognitive inference and learning system to render cognitive insights.   
     
     
         2 . The method of  claim 1 , further comprising:
 supporting natural language queries.   
     
     
         3 . The method of  claim 1 , further comprising:
 converting processed queries into a cognitive graph form, the cognitive graph form enabling querying of a target cognitive graph.   
     
     
         4 . The method of  claim 1 , further comprising:
 bridging a translated query to a cognitive graph and providing domain-specific responses.   
     
     
         5 . The method of  claim 1 , further comprising:
 interpreting requests and user context and mapping the requests and user context to an appropriate node and line within the cognitive graph.   
     
     
         6 . The method of  claim 1 , wherein
 the plurality of data sources comprise platform data; and,   the enrichment agent communicates with the platform data.   
     
     
         7 . The method of  claim 6 , wherein
 the platform data comprises a plurality of data sets; and,   the bridging agent communicates with the plurality of datasets within the platform data.

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