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.
Preview
Unable to display preview. Download preview PDF.
References
S. Adali and C. Bu.. A flexible architecture for query integration and mapping. In Cooperative Information Systems Conference, 1998.
B. Bouchon-Meunier, M. Rifqi and S. Bothorel. Towards general measures of comparison of objects. Fuzzy Sets and Systems, 84:143–153, 1996.
S.M. Chen, M.S. Yeh and P.Y. Hsiao. A comparison of similarity measures of fuzzy values. Fuzzy Sets and Systems 72:79–89, 1995
S. Decker, S. Melnik, F. van Harmelen, D. Fensel, M. Klein, J. Broekstra, M. Erdmann, and I. Horrocks. The semantic web: the roles of XML and RDF. IEEE Internet Computing, 43:2–13, 2000.
P. Fonck, J. Fodor and M. Roubens. An application of aggregation procedures to the definition of measures of similarity between fuzzy sets Fuzzy Sets and Systems 97:67–74, 1998
K.G. Jeffery. What’s next in database. ERCIM News, 39:24–26, 1999.
F. Klawonn and J.L. Castro. Similarity in fuzzy reasoning Mathware and Soft Computing 2:336–350, 1995.
J. Medina, M. Ojeda-Aciego, and P. Vojtáš. A procedural semantics for multiadjoint logic programming. In Progress in ArtificialIntel ligence, EPIA’01, pages 290–297. Lect. Notes in Artificial Intelligence 2258, 2001.
J. Medina, M. Ojeda-Aciego, and P. Vojtáš. Similarity-based unification: a multiadjoint approach. Fuzzy Sets and Systems, 2002. Submitted.
C.P. Pappis and N.I. Karacapilidis. A comparative assessment of measures of similarity of fuzzy values Fuzzy Sets and Systems 56:171–174, 1993
M.I. Sessa. Approximate reasoning by similarity-based SLD resolution. Theoretical Computer Science, 275(1-2):389–426, 2002.
P. Vojtáš and Z. Fabián. Aggregating similar witnesses for flexible query answering. In H.L. Larsen et al., editor, Flexible Query Answering Systems, FQAS’00, pages 220–229. Physica Verlag, 2000.
X. Wang, B. De Baets. and E. Kerre. A comparative study of similarity measures Fuzzy Sets and Systems 73:259–268, 1995.
A. Yazici and D. Cibiceli. An access structure for similarity-based fuzzy databases. Information Sciences, 115(1-4):137–163, 1999.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2002 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
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
Download citation
DOI: https://doi.org/10.1007/3-540-36109-X_21
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-00074-7
Online ISBN: 978-3-540-36109-1
eBook Packages: Springer Book Archive