Cognitive session graphs

Patent metadata

Field	Value
Publication number	US-10324941-B2
Application number	US-201514729577-A
Country	US
Kind code	B2
Filing date	Jun 3, 2015
Priority date	Jun 9, 2014
Publication date	Jun 18, 2019
Grant date	Jun 18, 2019

Abstract

A method, system and computer-usable medium for providing cognitive insights including receiving streams of data from a plurality of data sources; processing the streams of data from the plurality of data sources; generating a cognitive session graph, the cognitive session graph being associated with a session, the cognitive session graph including enriched data; and, processing the cognitive session graph to provide a cognitive insight, the cognitive insight being related to the session.

First claim

What is claimed is:

1. A computer-implementable method for generating and using a cognitive session graph comprising:
receiving streams of 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;
processing the streams of data from the plurality of data sources, the processing the streams of data from the plurality of data sources performing data enriching to provide enriched data, the data enriching performing sentiment analysis, geotagging and entity detection operations on the streams of data from the plurality of data sources;
generating a cognitive session graph, the cognitive session graph being associated with a session, the session comprising a plurality of queries over a period of time, the plurality of queries being stored within the cognitive session graph associated with the session, each query of the plurality of queries being represented as a respective node within the cognitive session graph, the respective node comprising a representation of a time at which the query was asked, the cognitive session graph comprising at least some enriched data, the generating being performed by a cognitive inference and learning system, the cognitive inference and learning system executing on a hardware processor of an information processing system and interacting with the plurality of data sources, the cognitive session graph interacting with an application cognitive graph, the application cognitive graph comprising a cognitive graph associated with a cognitive application, interactions between the cognitive application and the application cognitive graph being represented as a set of nodes in the cognitive session graph, the cognitive inference and learning system comprising a cognitive platform, the cognitive platform and the information processing system performing a cognitive computing function, the cognitive computing function 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 streams of data from the plurality of data sources, the cognitive platform comprising a cognitive engine, the cognitive engine processing the streams of data from the plurality of data sources; and,
processing the cognitive session graph to provide a cognitive insight, the cognitive insight being related to the session.

2. The method of claim 1 , wherein:
the session is related to at least one of a user, group of users, theme, topic, issue, question, intent, goal, objective, task, assignment, process, situation, requirement, condition, responsibility, location, and period of time.

3. The method of claim 1 , further comprising:
generating a second cognitive session graph, the second cognitive session graph being associated with a second session, the cognitive session graph comprising at least some enriched data; and,
processing the second cognitive session graph to provide a second cognitive insight, the second cognitive insight being related to the second session.

4. The method of claim 3 , wherein:
the session and the second session are associated with a single user;
the session and the second session correspond to a first purpose and a second purpose, respectively; and,
the cognitive insight and the second cognitive insight are related to the first purpose and the second purpose, respectively.

5. The method of claim 1 , wherein:
the node within the cognitive session graph is linked to a node within a universal cognitive graph.

6. The method of claim 1 , wherein:
an insight agent accesses the cognitive session graph to provide the cognitive insight.

7. A computer-implementable method for generating and using a cognitive session graph comprising:
receiving streams of 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;
processing the streams of data from the plurality of data sources, the processing the streams of data from the plurality of data sources performing data enriching to provide enriched data;
generating a cognitive session graph, the cognitive session graph being associated with a session, the session comprising a plurality of queries over a period of time, the plurality of queries being stored within the cognitive session graph associated with the session, each query of the plurality of queries being represented as a respective node within the cognitive session graph, the respective node comprising a representation of a time at which the query was asked, the cognitive session graph comprising at least some enriched data, the generating being performed by a cognitive inference and learning system, the cognitive session graph interacting with an application cognitive graph, the application cognitive graph comprising a cognitive graph associated with a cognitive application, interactions between the cognitive application and the application cognitive graph being represented as a set of nodes in the cognitive session graph, the cognitive inference and learning system executing on a hardware processor of an information processing system and interacting with the plurality of data sources, the cognitive inference and learning system comprising a cognitive platform, the cognitive platform and the information processing system performing a cognitive computing function, the cognitive platform comprising a cognitive engine, the cognitive engine processing the streams of data from the plurality of data sources; and,
processing the cognitive session graph to provide a cognitive insight, the cognitive insight being related to the session.

8. The method of claim 7 , wherein:
the session is related to at least one of a user, group of users, theme, topic, issue, question, intent, goal, objective, task, assignment, process, situation, requirement, condition, responsibility, location, and period of time.

9. The method of claim 7 , further comprising:
generating a second cognitive session graph, the second cognitive session graph being associated with a second session, the cognitive session graph comprising at least some enriched data; and,
processing the second cognitive session graph to provide a second cognitive insight, the second cognitive insight being related to the second session.

10. The method of claim 9 , wherein:
the session and the second session are associated with a single user;
the session and the second session correspond to a first purpose and a second purpose, respectively; and,
the cognitive insight and the second cognitive insight are related to the first purpose and the second purpose, respectively.

11. The method of claim 7 , wherein:
the node within the cognitive session graph is linked to a node within a universal cognitive graph.

12. The method of claim 7 , wherein:
an insight agent accesses the cognitive session graph to provide the cognitive insight.

Assignees

• Cognitive Scale Inc

Inventors

• Sanchez Matthew
• Ranatunga Dilum

Classifications

• G06F16/9024 Primary

  Graphs; Linked lists (G06F16/9027 takes precedence) · CPC title

• G06F16/972

  Access to data in other repository systems, e.g. legacy data or dynamic Web page generation · CPC title

• G06F16/24568

  Data stream processing; Continuous queries · CPC title

• G06F16/2465 Primary

  Query processing support for facilitating data mining operations in structured databases · CPC title

• G06F16/287

  Visualization; Browsing · CPC title