PARTIAL DOCUMENT CONTENT MATCHING USING SECTIONAL ANALYSIS

Patent №

US 7,954,151

Granted

2011-05-31

Filed 2004

Owner

TABLUS, INC.

Lab

AI components

4

nlp · vision · kr · planning

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

10949552

Monitored content is classified to determine partial matches with fragments of documents. A set of redundant keys, or sliding sectional fingerprints, are computed for every possible alignment of the documents with respect to the monitored content. The keys are stored in repositories according to the classification of the corresponding documents. Sectional fingerprints are computed for the monitored content, and the repositories are searched. If a match is found in a repository corresponding to public content, then the monitored data section is classified as public. If a match is found only in a repository corresponding to private content, then the data section is classified as private. Otherwise, the data section is classified as unknown. In a related aspect, a set of policies are searched for a first match in part according to the classifications of the monitored data sections, and a designated action taken if the first match is found.

AI classification

Planning1.00
Vision0.98
Knowledge representation0.98
Natural language0.93
Evolutionary computation0.23
AI hardware0.17
Machine learning0.01
Speech0.00

Ownership

TABLUS, INC.

assignment · 173640726

Assignors

NISBET, JAMES DONALD, WIESE, JAMES CHRISTOPHER, REIZES, DAVID ALEXANDER, HOYT, STEPHEN CROSBY

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

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