Title
Semantic Extensions To Text Retrieval
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 Date
1-1-1991
Publication Title
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume
542 LNAI Part F2
Number of Pages
266-275
Document Type
Article; Proceedings Paper
Personal Identifier
scopus
DOI Link
https://doi.org/10.1007/3-540-54563-8_90
Copyright Status
Unknown
Socpus ID
85028694640 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/85028694640
STARS Citation
Wendlandt, Edgar B. and Driscoll, James R., "Semantic Extensions To Text Retrieval" (1991). Scopus Export 1990s. 1269.
https://stars.library.ucf.edu/scopus1990/1269