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.
This work has been supported in part by NASA KSC Grant NAG 10-0058 Project 2A, NASA KSC Cooperative Agreement NCC10-003 Project 2, and Florida High Technology and Industry Council Grant 4940-11-28-721.
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© 1991 Springer-Verlag Berlin Heidelberg
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Wendlandt, E.B., Driscoll, J.R. (1991). Semantic extensions to text retrieval. In: Ras, Z.W., Zemankova, M. (eds) Methodologies for Intelligent Systems. ISMIS 1991. Lecture Notes in Computer Science, vol 542. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-54563-8_90
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DOI: https://doi.org/10.1007/3-540-54563-8_90
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