TERM EXTRACTION FROM SERVICE DESCRIPTION DOCUMENTS

Patent №

US 8,255,405

Granted

2012-08-28

Filed 2009

Owner

HEWLETT-PACKARD DEVELOPMENT COMPANY, L.P.

Lab

AI components

5

ml · nlp · vision · planning · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

12363695

Terms are extracted from service description documents describing desired services, and the terms are used to search for candidate service providers operable to provide the desired services. A matrix of terms and documents are determined from the service description documents. Singular value decomposition (SVD) is used to decompose the matrix. Eigen vectors from the SVD decomposition are weighted by top k singular values in a diagonal matrix S of singular values also generated from the decomposition. The weighted eigen vectors are used to rank terms from the matrix X based on relevance of the terms to the requirements for desired services described in the service description documents.

AI classification

Natural language1.00
AI hardware0.95
Machine learning0.80
Vision0.77
Planning0.75
Knowledge representation0.08
Evolutionary computation0.00
Speech0.00

Ownership

HEWLETT-PACKARD DEVELOPMENT COMPANY, L.P.

assignment · 222530947

Assignors

BASU, SUJOY, SINGHAL, SHARAD, YOUNG, DONALD E., OZONAT, MEHMET KIVANC, GRAUPNER, SVEN

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

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