A Unifying Model of Flexible Queries with Distinct Semantics of Search Term Weights

Part of the Studies in Computational Intelligence book series (SCI, volume 497)


When querying documents archives there is often the need to specify importance weights of the search terms that define flexible selection conditions on documents representation. Several interpretations of the semantics of these weights have been proposed within distinct information retrieval models. In this contribution we define a unifying model of information retrieval based on a vector p-norm, were importance weights with distinct semantics can be specified in flexible queries.


Flexible querying Soft aggregations Flexible selection conditions Importance weights Index term weights 


  1. 1.
    Bordogna, G., Pasi, G.: Modeling vagueness in information retrieval. Lectures on Information Retrieval Lecture Notes in Computer Science. Springer, Berlin 1980/2001, pp. 207–241 (2001)Google Scholar
  2. 2.
    Bordogna, G., Pasi, G.: Linguistic aggregation operators of selection criteria in fuzzy information retrieval. Int. J. Intell. Syst. 10, 233–248 (1995)CrossRefGoogle Scholar
  3. 3.
    Bordogna, G., Psaila, G.: (2009) Soft Aggregation in Flexible Databases Querying based on the Vector p-norm. Int. J. Uncertainty Fuzziness Knowl. Based Syst. (World Scientific Publishing Company) 17(1), 25–40 (2009)Google Scholar
  4. 4.
    Bordogna, G., Bosc, P., Pasi, G.: Extended Boolean information retrieval in terms of fuzzy inclusion. In: Pons, O., Vila, M.A., Kacprzyk, J. (eds.) Knowledge Management in Fuzzy Databases. Studies in Fuzziness and Soft Computing series, vol. 39, pp. 234–247. Physica-Verlag, New York. ISBN: 3790812552 (2000)Google Scholar
  5. 5.
    Bosc, P., Dubois, D., Pivert, O., Prade H.: Fuzzy division for regular relational databases. In: Proceedings of 4th International IEEE Conference on Fuzzy Systems (FUZZ-IEEE/IFES’95), pp. 729–734, Yokohama (Japan), March 1995Google Scholar
  6. 6.
    Bosc, P., Lietard, L.: Quantified statements and some interpretations for the OWA operators. In: Yager, R., Kacprzyk, J. (eds.) The Ordered Weighted Averaging Operators: Theory and Applications, pp. 241–257. Kluwer, Boston (1997)CrossRefGoogle Scholar
  7. 7.
    Bosc, P.: Some views of the division of fuzzy relations. In: Proceedings of 5th International Workshop on Current Issues on Fuzzy Technologies (CIFT’95), pp. 14–22, Trento (Italy), June 1995Google Scholar
  8. 8.
    Bosc, P., Pivert, O.: Some approaches for relational databases flexible querying. J. Intell. Inf. Syst. 1, 323–354 (1992)CrossRefGoogle Scholar
  9. 9.
    Chomicki, J.: Preference formulas in relational queries. ACM Trans. Database Syst. 28(4), 427–466 (2003)CrossRefGoogle Scholar
  10. 10.
    Dubois, D., Prade, H.: Bipolarity in flexible querying. In: Andreasen, T., Motro, A., Christiansen, H., Larsen, H.L. (eds.) Flexible Query Answering Systems, FQAS 2002. Lecture Notes in Computer Science, vol. 2522, pp. 174–182. Springer, Berlin (2002)Google Scholar
  11. 11.
    Dujmović, J.J., Fang, W.Y.: An empirical analysis of assessment errors for weights and andness in LSP criteria. In: Torra, V., Narukawa, Y. (eds.) Modeling Decisions for Artificial Intelligence. LNAI, vol. 3131, pp. 139–150. Springer, Berlin (2004)Google Scholar
  12. 12.
    Dujmović, J.J., Larsen, H.L.: Generalized conjunction/disjunction. Int. J. Approximate Reasoning 46(3), 423–446 (2007)Google Scholar
  13. 13.
    Dujmović, J.J.: Nine forms of andness/orness. In: Kovalerchuk, B. (ed.) Proceedings of the Second IASTED International Conference on Computational Intelligence, pp. 276-281. ISBN Hardcopy: 0-88986-602-3/CD: 0-88986-603-1 (2006)Google Scholar
  14. 14.
    Kacprzyk, J., Zadrozny, S.: Implementation of OWA operators in fuzzy querying for Microsoft Access. In: Yager, R.R., Kacprzyk, J. (eds.) The Ordered Weighted Averaging Operators: Theory and Applications, pp. 293–306. Kluwer, Boston (1997)CrossRefGoogle Scholar
  15. 15.
    Kacprzyk, J., Ziolkowski, A.: Database queries with fuzzy linguistic quantifiers. IEEE Trans. Syst. Man Cybern. 16, 474–479 (1986)CrossRefGoogle Scholar
  16. 16.
    Kießling, W., Kostler, G.: Preference SQL—design, implementation, experiences. In: Proceedings of the 28th VLDB Conference, Hong Kong (2002)Google Scholar
  17. 17.
    Lacroix M., Lavency P.: Preferences: putting more knowledge into queries. In: Proceedings of 13th Conference VLDB, pp. 217–225, Brighton, GB (1987)Google Scholar
  18. 18.
    Larsen, H.L.: Importance weighted OWA aggregation of multicriteria queries. In: Larsen, H.L. (ed.) Proceedings of NAFIPS 1999, pp. 740–744, New York (1999)Google Scholar
  19. 19.
    Lietard, L., Rocacher, D., Tbahriti, S.E.: Towards an extended SQLf: bipolar query language with preferences. Int. J. Appl. Math. Comput. Sci. 4(1), 58–63 (2008)Google Scholar
  20. 20.
    Petry, F.E.: Fuzzy Databases. Kluwer Academic Pub., Boston (1996)Google Scholar
  21. 21.
    Salton, G., McGill, M.J.: Introduction to Modern Information Retrieval. McGraw-Hill, New York, NY (1983)MATHGoogle Scholar
  22. 22.
    Salton, G., Fox, E., Wu, H.: Extended Boolean information retrieval. Commun. ACM 26(12), 1022–1036 (1983)MathSciNetCrossRefMATHGoogle Scholar
  23. 23.
    Yager, R.R.: On ordered weighted averaging aggregation operators in multi-criteria decision making. IEEE Trans. Syst. Man Cybern. 18, 183–190 (1988)MathSciNetCrossRefMATHGoogle Scholar
  24. 24.
    Zadrozny, S., Kacprzyk, J.: Issues in the practical use of the OWA operators in fuzzy querying. J. Intell. Inf. Syst. 33, 307–325 (2009)CrossRefGoogle Scholar
  25. 25.
    Zadrozny, S., Kacprzyk, J.: Bipolar queries: an approach and its various interpretations. In: Proceedings of IFSA-EUSFLAT 2009, pp. 1288–1293. ISBN: 978-989-95079-6-8 (2009)Google Scholar

Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Gloria Bordogna
    • 1
  • Gabriella Pasi
    • 2
  • Giuseppe Psaila
    • 3
  1. 1.CNR IDPADalmineItaly
  2. 2.Dipartimento Informatica Sistemistica e ComunicazioneUniversity of Milano BicoccaMilanoItaly
  3. 3.Department of EngineeringUniversity of BergamoDalmineItaly

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