Functional summarization of non-textual content based on a meta-algorithmic pattern

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United States of America Patent

PATENT NO 10394867
APP PUB NO 20170132319A1
SERIAL NO

15317940

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Abstract

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Functional summarization of non-textual content based on a meta-algorithmic pattern is disclosed. One example is a system including a converter, a plurality of summarization engines and/or meta-algorithmic patterns, an extractor, and an evaluator. The converter converts the non-textual content into a plurality of tokens. Combinations of summarization engines and/or meta-algorithm patterns are applied to the plurality of tokens to provide a meta-summary. The extractor extracts at least one summarization term from the meta-summary, and at least one class term for each given class of a plurality of classes of non-textual content. The evaluator determines similarity values of the non-textual content over each given class, each similarity value indicative of a similarity between the at least one summarization term and the at least one class term for each given class. The selector selects a class of the plurality of classes, the selecting based on the determined similarity values.

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Patent Owner(s)

  • HEWLETT-PACKARD DEVELOPMENT COMPANY, L.P.

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Inventor(s)

Inventor Name Address # of filed Patents Total Citations
Hurley, Julie e Chicago, US 2 291
Simske, Steven J Ft. Collins, US 291 4198
Sturgill, Malgorzata M Ft. Collins, US 33 199
Vans, A Marie Ft. Collins, US 16 49

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