Method for performing graph query operations within a cognitive environment

• US 9,916,532 B2
• Filed: 02/24/2015
• Issued: 03/13/2018
• Est. Priority Date: 06/09/2014
• Status: Active Grant

• Current Assignee: Tecnotree Technologies Incorporated
• Original Assignee: Cognitive Scale Inc (Tecnotree Oyj)
• Inventors: Sanchez, Matthew, Ranatunga, Dilum
• Primary Examiner(s): Holmes, Michael B
• Application Number:
  US14/629,647
• Publication Number:
  US 20150356427A1
• Time in Patent Office: 1,113 Days
• Field of Search: 706 55
• CPC Class Codes: G06F 16/2465 Query processing support for facilitating data mining operations in structured databases
• CPC Class Codes: G06N 5/022 Knowledge engineering; Knowledge acquisition

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

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 engine, the cognitive engine comprising a graph query engine, the method comprising:

performing cognitive computing operations via the cognitive inference and learning system;

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;

receiving and processing queries via the graph query engine of the cognitive engine; 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.