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Logical Models of Information Retrieval

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Recommended Reading

  1. Amati G, van Rijsbergen CJ. Semantic information retrieval. In: Crestani F, Lalmas M, van Rijsbergen CJ, editors. Information retrieval: uncertainty and logics. Norwell: Kluwer; 1998. p. 189–220.

    Chapter  Google Scholar 

  2. Bordogna G, Pasi G. A fuzzy linguistic approach generalizing boolean information retrieval: a model and its evaluation. J Am Soc Inf Sci. 1993;44(2):70–82.

    Article  Google Scholar 

  3. Bruza P.D., Huibers T.W.C. Investigating aboutness axioms using information fields. In Proceedings of the ACM SIGIR Conference on Research and Development in Information Retrieval; 1994. p. 112–21.

    Chapter  Google Scholar 

  4. Cooper WS. A definition of relevance for information retrieval. Inf Storage Retr. 1971;7(1):19–37.

    Article  MathSciNet  Google Scholar 

  5. Crestani F, Lalmas M. Logic and uncertainty in information retrieval. In: Agosti M, Crestani F, Pasi G, editors. Lectures on information retrieval, LNCS, vol. 1980. Heidelberg: Springer; 2001. p. 182–210.

    Google Scholar 

  6. Crestani F, Lalmas M, van Rijsbergen CJ, editors. Information retrieval, uncertainty and logics: advanced models for the representation and retrieval of information. Boston: Kluwer; 1998.

    Google Scholar 

  7. Crestani F, van Rijsbergen CJ. A study of probability kinematics in information retrieval. ACM Trans Inf Syst. 1998;16(3):225–55.

    Article  Google Scholar 

  8. Fuhr N. Probabilistic datalog – a logic for powerful retrieval methods. In Proceedings of the ACM SIGIR Conference on Research and Development in Information Retrieval; 1995. p. 282–90.

    Google Scholar 

  9. Lalmas M. Logical models in information retrieval: introduction and overview. Inf Process Manag. 1998;34(1):19–33.

    Article  Google Scholar 

  10. Losada D.E., Barreiro A. Using a belief revision operator for document ranking in extended Boolean model. In Proceedings of the ACM SIGIR Conference on Research and Development in Information Retrieval; 1999. p. 66–73.

    Google Scholar 

  11. Meghini C., Sebastiani F., Straccia U., Thanos C. A model of information retrieval based on a terminological logic. In Proceedings of the ACM SIGIR Conference on Research and Development in Information Retrieval; 1993. p. 298–307.

    Google Scholar 

  12. Nie JY. An information retrieval model based on modal logic. Inf Process Manag. 1989;25(5):477–91.

    Article  Google Scholar 

  13. Nie JY, Lepage F, Brisebois M. Information retrieval as counterfactuals. Comput J. 1995;38(8):643–57.

    Article  Google Scholar 

  14. Sebastiani F. Trends in … a critical review: on the role of logic in information retrieval. Inf Process Manag. 1998;34(1):1–18.

    Article  Google Scholar 

  15. Turtle HR, Croft WB. Evaluation of an inference network-based retrieval model. ACM Trans Inf Syst. 1991;9(3):187–222.

    Article  Google Scholar 

  16. van Rijsbergen C.J. A new theoretical framework for information retrieval. In Proceedings of the ACM SIGIR Conference on Research and Development in Information Retrieval; 1986. p. 194–200.

    Google Scholar 

  17. van Rijsbergen CJ, Lalmas M. An information calculus for information retrieval. J Am Soc Inf Sci. 1996;47(5):385–98.

    Article  Google Scholar 

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Author information

Authors and Affiliations

  1. University of Lugano, Lugano, Switzerland

    Fabio Crestani

Authors
  1. Fabio Crestani
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Corresponding author

Correspondence to Fabio Crestani .

Editor information

Editors and Affiliations

  1. Georgia Institute of Technology College of Computing, Atlanta, GA, USA

    Ling Liu

  2. University of Waterloo School of Computer Science, Waterloo, ON, Canada

    M. Tamer Özsu

Section Editor information

  1. Fondazione Ugo Bordoni, Rome, Italy

    Giambattista Amati

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Crestani, F. (2018). Logical Models of Information Retrieval. In: Liu, L., Özsu, M.T. (eds) Encyclopedia of Database Systems. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-8265-9_922

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