Title
Semantic Extensions To Text Retrieval
Abbreviated Journal Title
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.
Journal 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
Recommended Citation
"Semantic Extensions To Text Retrieval" (1991). Faculty Bibliography 1990s. 369.
https://stars.library.ucf.edu/facultybib1990/369
Comments
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