METHOD AND SYSTEM FOR ENHANCED DATA SEARCHING

Patent №

US 7,398,201

Granted

2008-07-08

Filed 2003

Owner

INSIGHTFUL CORPORATION

+1 more

Lab

AI components

3

ml · nlp · kr

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

10371399

Methods and systems for syntactically indexing and searching data sets to achieve more accurate search results and for indexing and searching data sets using entity tags alone or in combination therewith are provided. Example embodiments provide a Syntactic Query Engine (“SQE”) that parses, indexes, and stores a data set, as well as processes natural language queries subsequently submitted against the data set. The SQE comprises a Query Preprocessor, a Data Set Preprocessor, a Query Builder, a Data Set Indexer, an Enhanced Natural Language Parser (“ENLP”), a data set repository, and, in some embodiments, a user interface. After preprocessing the data set, the SQE parses the data set according to a variety of levels of parsing and determines as appropriate the entity tags and syntactic and grammatical roles of each term to generate enhanced data representations for each object in the data set. The SQE indexes and stores these enhanced data representations in the data set repository. Upon subsequently receiving a query, the SQE parses the query also using a variety of parsing levels and searches the indexed stored data set to locate data that contains similar terms used in similar grammatical roles and/or with similar entity tag types as indicated by the query. In this manner, the SQE is able to achieve more contextually accurate search results more frequently than using traditional search engines.

Machine learningNatural languageKnowledge representationG06F 40/211G06F 16/313G06F 16/3344G06F 40/35Y10S 707/99933Y10S 707/99943

AI classification

Natural language1.00
Knowledge representation1.00
Machine learning0.98
Vision0.03
Planning0.01
Speech0.00
AI hardware0.00
Evolutionary computation0.00

Ownership

INSIGHTFUL CORPORATION

assignment · 143720818

HYPERTEXT SOLUTIONS INC.

assignment · 201410161

Assignors

MARCHISIO, GIOVANNI B., KOPERSKI, KRZYSZTOF, LIANG, JISHENG, MURUA, ALEJANDRO, NGUYEN, THIEN, TUSK, CARSTEN, DHILLON, NAVDEEP S., POCHMAN, LUBOS

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

From the same owner

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