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Trimming Plethoric Answers to Fuzzy Queries: An Approach Based on Predicate Correlation

  • Conference paper
Computational Intelligence for Knowledge-Based Systems Design (IPMU 2010)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 6178))

Abstract

Retrieving data from large-scale databases often leads to plethoric answers. To overcome this problem, we propose an approach which selects a set of predicates that the user may use for intensifying his/her query. These predicates are selected among predefined ones according principally to their degree of semantic correlation with the initial query in order to avoid a deep modification of its semantic scope.

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References

  1. Bezdek, J.: Pattern recognition with fuzzy objective function algorithm. Plenum Press, New York (1981)

    Google Scholar 

  2. Bodenhofer, U., Küng, J.: Fuzzy ordering in flexible query answering systems. Soft Computing 8, 512–522 (2003)

    Article  Google Scholar 

  3. Bosc, P., Hadjali, A., Pivert, O.: Empty versus overabundant answers to flexible relational queries. Fuzzy sets and systems 159(12), 1450–1467 (2008)

    Article  MATH  MathSciNet  Google Scholar 

  4. Bosc, P., Pivert, O.: SQLf: a relational database language for fuzzy querying. IEEE Transactions on Fuzzy Systems 3(1), 1–17 (1995)

    Article  MathSciNet  Google Scholar 

  5. Chaudhuri, S., Das, G., Hristidis, V., Weikum, G.: Probabilistic ranking of database query results. In: Proc. of VLDB’04, pp. 888–899 (2004)

    Google Scholar 

  6. Chomicki, J.: Querying with intrinsic preferences. In: Jensen, C.S., Jeffery, K., Pokorný, J., Šaltenis, S., Bertino, E., Böhm, K., Jarke, M. (eds.) EDBT 2002. LNCS, vol. 2287, pp. 34–51. Springer, Heidelberg (2002)

    Chapter  Google Scholar 

  7. Gaasterland, T.: Relaxation as a platform for cooperative answering. Journal of Intelligent Information Systems 1(3-4), 296–321 (1992)

    Article  Google Scholar 

  8. Kiessling, W.: Foundations of preferences in database systems. In: Proc. of VLDB’02 (2002)

    Google Scholar 

  9. Ozawa, J., Yamada, K.: Cooperative answering with macro expression of a database. In: Bouchon-Meunier, B., Yager, R.R., Zadeh, L.A. (eds.) IPMU 1994. LNCS, vol. 945, pp. 17–22. Springer, Heidelberg (1995)

    Google Scholar 

  10. Ozawa, J., Yamada, K.: Discovery of global knowledge in database for cooperative answering. In: Proc. of Fuzz-IEEE’95. pp. 849–852 (1995)

    Google Scholar 

  11. Pappis, C., Karacapilidis, N.: A comparative assessment of measures of similarity of fuzzy values. In: Fuzzy sets and systems (1993)

    Google Scholar 

  12. Su, W., Wang, J., Huang, Q., Lochovsky, F.: Query result ranking over e-commerce web databases. In: Proc. of CIKM’06 (2006)

    Google Scholar 

  13. Ughetto, L., Voglozin, W.A., Mouaddib, N.: Database querying with personalized vocabulary using data summaries. Fuzzy Sets and Systems 159(15), 2030–2046 (2008)

    Article  MathSciNet  Google Scholar 

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Author information

Authors and Affiliations

  1. Irisa ENSSAT, Univ. Rennes 1, Lannion, France

    Patrick Bosc, Allel Hadjali & Olivier Pivert

  2. Irisa IUT Lannion, Univ. Rennes 1, Lannion, France

    Grégory Smits

Authors
  1. Patrick Bosc
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  2. Allel Hadjali
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  3. Olivier Pivert
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  4. Grégory Smits
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Editor information

Editors and Affiliations

  1. Fachbereich Mathematik und Informatik, Philipps-Universität Marburg, Hans-Meerwein-Str., 35032, Marburg, Germany

    Eyke Hüllermeier

  2. Fakultät Informatik, Otto-von-Guericke-Universität Magdeburg, Universitätsplatz 2, 39106, Magdeburg, Germany

    Rudolf Kruse

  3. Fakultät für Elektrotechnik und Informationstechnik, Technische Universität Dortmund, Otto-Hahn-Str. 4, 44227, Dortmund, Germany

    Frank Hoffmann

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© 2010 Springer-Verlag Berlin Heidelberg

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Bosc, P., Hadjali, A., Pivert, O., Smits, G. (2010). Trimming Plethoric Answers to Fuzzy Queries: An Approach Based on Predicate Correlation. In: Hüllermeier, E., Kruse, R., Hoffmann, F. (eds) Computational Intelligence for Knowledge-Based Systems Design. IPMU 2010. Lecture Notes in Computer Science(), vol 6178. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14049-5_61

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  • DOI: https://doi.org/10.1007/978-3-642-14049-5_61

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-14048-8

  • Online ISBN: 978-3-642-14049-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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