Universal Knowledge Repository

• US 20150356415A1
• Filed: 06/03/2015
• Published: 12/10/2015
• Est. Priority Date: 06/09/2014
• Status: Abandoned Application

• Current Assignee: Tecnotree Technologies Incorporated
• Original Assignee: Cognitive Scale Inc (Tecnotree Oyj)
• Inventors: Sanchez, Matthew, Ranatunga, Dilum
• Application Number:
  US14/729,559
• Publication Number:
  US 20150356415A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06F 13/4208 being a system bus, e.g. VME bus, Futurebus, Multibus
• CPC Class Codes: G06F 16/24568 Data stream processing; Continuous queries
• CPC Class Codes: G06F 16/2465 Query processing support for facilitating data mining operations in structured databases
• CPC Class Codes: G06F 16/287 Visualization; Browsing
• CPC Class Codes: G06F 16/9024 Graphs; Linked lists G06F16/9027 takes precedence
• CPC Class Codes: G06F 16/955 using information identifiers, e.g. uniform resource locators [URL]
• CPC Class Codes: G06F 16/972 Access to data in other repository systems, e.g. legacy data or dynamic Web page generation
• CPC Class Codes: G06N 20/00 Machine learning
• CPC Class Codes: G06N 5/022 Knowledge engineering; Knowledge acquisition
• CPC Class Codes: G06N 5/04 Inference or reasoning models
• CPC Class Codes: G06Q 30/0241 Advertisements
• CPC Class Codes: G06Q 30/0269 based on user profile or attribute
• CPC Class Codes: G06Q 30/0277 Online advertisement
• CPC Class Codes: H04W 4/025 using location based information parameters

Abstract

A method for managing a universal knowledge repository comprising: receiving streams of data from a plurality of data sources; 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 data enriched data streams; and, storing the data streams and the data enriched data streams within the universal knowledge repository as a collection of knowledge elements.

Claims

1. A computer-implementable method for managing a universal knowledge repository comprising:

receiving streams of data from a plurality of data sources;

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 data enriched data streams; and

,

storing the data streams and the data enriched data streams within the universal knowledge repository as a collection of knowledge elements.

2. The method of claim 1, further comprising:

generating a cognitive insight based upon the collection of knowledge elements stored within the universal knowledge repository.

3. The method of claim 1, wherein:

the data enriching comprises identifying at least some knowledge elements within the collection of knowledge elements as at least one of facts, opinions, descriptions, and skills.

4. The method of claim 1, wherein:

the data enriching comprises identifying at least some knowledge elements within the collection of knowledge elements as at least one of statements, assertions, beliefs, perceptions, preferences, sentiments, attitudes and opinions and associating identified at least some knowledge elements with an entity responsible for generating the at least one of statements, assertions, beliefs, perceptions, preferences, sentiments, attitudes and opinions.

5. The method of claim 1, wherein:

the universal knowledge repository comprises a private knowledge repository; and

,

at least some of the plurality of data streams are private data streams.

6. The method of claim 1, wherein:

the universal knowledge repository comprises a universal cognitive graph.