Title

Semantic Extensions To Text Retrieval

Title - Alternative

Lect. Notes Artif. Intell.

Keywords

Computer Science, Artificial Intelligence

Abstract

Current information retrieval systems focus on the use of keywords to respond to user queries. We propose using surface level knowledge to improve retrieval accuracy. Our approach is based on (1) the database concept of semantic modeling (particularly entity attributes and relationship properties) and (2) the linguistic concept of thematic roles, also referred to in the literature as participant roles, semantic roles, and case roles. We include an example to illustrate our approach. Some test results are also reported.

Publication Title

Lecture Notes in Artificial Intelligence

Volume

542

Publication Date

1-1-1991

Document Type

Article

Language

English

First Page

266

Last Page

275

WOS Identifier

WOS:A1991KV08300028

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