PHRASE MATCHING IN DOCUMENTS HAVING NESTED-STRUCTURE ARBITRARY (DOCUMENT-SPECIFIC) MARKUP

Patent №

US 8,549,006

Granted

2013-10-01

Filed 2008

Owner

AT&T CORP.

Lab

AI components

3

nlp · kr · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

12042287

A method of searching a document having nested-structure document-specific markup (such as Extensible Markup Language (XML)) involves 112 receiving a query that designates at least (A) a phrase to be matched in a phrase matching process, and (B) a selective designation of at least a tag or annotation that is to be ignored during the phrase matching process. The method further involves 114 deriving query-specific indices based on query-independent indices that were created specific to each document, and 116 carrying out the phrase matching process using the query-specific indices on the document having the nested-structure document-specific markup.

Natural languageKnowledge representationAI hardwareG06F 16/8373Y10S 707/99933Y10S 707/99934Y10S 707/99935

AI classification

Natural language1.00
AI hardware0.96
Knowledge representation0.89
Speech0.15
Machine learning0.03
Planning0.02
Vision0.02
Evolutionary computation0.00

Ownership

AT&T CORP.

assignment · 381270054

Assignors

AMER-YAHIA, SIHEM, FERNANDEZ, MARIA F., SRIVASTAVA, DIVESH, XU, YU

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

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