GENERATING A CONCEPTUAL ASSOCIATION GRAPH FROM LARGE-SCALE LOOSELY-GROUPED CONTENT

Patent №

US 9,110,985

Granted

2015-08-18

Filed 2010

Owner

NETSEER, INC.

+1 more

Lab

AI components

6

ml · nlp · vision · kr · planning · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

12906051

A method for generating a conceptual association graph from structured content includes grouping content nodes into one or more topically biased clusters, the content nodes comprising structured digital content and unstructured digital content, the grouping based at least in part on the connectedness of each content node member to other content node members in the same cluster. The method also includes, responsive to the grouping, tagging the content nodes with one or more descriptive concepts. The method also includes, responsive to the tagging, establishing one or more associations between the one or more concepts, the one or more associations indicating a relevance of the one or more associations, the indicating based at least in part on patterns of co-occurrence of concepts in the tagged content nodes.

AI classification

Natural language1.00
Knowledge representation1.00
Machine learning1.00
AI hardware1.00
Vision1.00
Planning0.98
Evolutionary computation0.02
Speech0.00

Ownership

NETSEER, INC.

assignment · 256720278

NETSEER ACQUISITION, INC.

assignment · 413420430

Assignors

BOSCOLO, RICCARDO, REZAEI, BEHNAM ATTARAN, ROYCHOWDHURY, VWANI P., CHERN, ALBERT, KHAJEHNOURI, NIMA

On an employer assignment, the assignors are typically the inventors.

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