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

  • Authors:
  • David E. Losada;Alvaro Barreiro

  • Affiliations:
  • Intelligent System Group, Department of Electronics and Computer Science, University of Santiago de Compostela, Campus Sur, 15782 Santiago de Compostela, Spain;AlLab, Department of Computer Science, University of A Coruña, Campus de Elviña, 15071, A Coruña, Spain

  • Venue:
  • Journal of the American Society for Information Science and Technology - Mathematical, logical, and formal methods in information retrieval
  • Year:
  • 2003

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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.