Document (#26423)

Author

Losada, D.E.
Barreiro, A.

Title

Emebedding term similarity and inverse document frequency into a logical model of information retrieval

Source

Journal of the American Society for Information Science and technology. 54(2003) no.4, S.285-301

Year

2003

Abstract

We propose a novel approach to incorporate term similarity and inverse document frequency into a logical model of information retrieval. The ability of the logic to handle expressive representations along with the use of such classical notions are promising characteristics for IR systems. The approach proposed here has been efficiently implemented and experiments against test collections are presented.

Footnote

Beitrag eines Themenheftes: Mathematical, logical, and formal methods in information retrieval

Theme

Retrievalalgorithmen

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5. Zanibbi, R.; Yuan, B.: Keyword and image-based retrieval for mathematical expressions (2011) 0.20

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