Semantic Extensions To Text Retrieval

    Authors

    E. B. Wendlandt;J. R. Driscoll

    Comments

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    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

    WOS:A1991KV08300028

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