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A Similarity-Based Unification Model for Flexible Querying

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Flexible Query Answering Systems (FQAS 2002)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2522))

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Abstract

We use the formal model for similarity-based fuzzy unification in multi-adjoint logic programs to provide new tools for flexible querying. Our approach is based on a general framework for logic programming, which gives a formal model of fuzzy logic programming extended by fuzzy similarities and axioms of first-order logic with equality. As a source of similarities we consider different approaches, such as statistical generation of fuzzy similarities, or similarities generated by some information retrieval techniques or similarities arisingfrom fuzzy conceptual lattices.

Partially supported by Slovak grant VEGA 1/7557/20.

Partially supported by Spanish DGI project BFM2000-1054-C02-02.

Partially supported by COST project 274.

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© 2002 Springer-Verlag Berlin Heidelberg

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Krajči, S., Lencses, R., Medina, J., Ojeda-Aciego, M., Vojtáš, P. (2002). A Similarity-Based Unification Model for Flexible Querying. In: Carbonell, J.G., Siekmann, J., Andreasen, T., Christiansen, H., Motro, A., Legind Larsen, H. (eds) Flexible Query Answering Systems. FQAS 2002. Lecture Notes in Computer Science(), vol 2522. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-36109-X_21

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  • DOI: https://doi.org/10.1007/3-540-36109-X_21

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-00074-7

  • Online ISBN: 978-3-540-36109-1

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