GFIRS: A Graphical Fuzzy Information Retrieval System

  • Stewart N. T. Shen
  • Jin Hu
Conference paper


There are several difficulties in information retrieval from database systems for users. One is how users express their intention by using some complex predefined functions or commands provided by a typical system. Another is how to identify the right portions of a database that the users want to base their queries on. Still another is that humans do not always think in exact ways and their ideas may be fuzzy, but most database systems can only handle precise queries. We propose a methodology which combines a graphical database querying model with fuzzy retrieval facilities.


Database System Relational Algebra Database Management System Graphical Database Fuzzy Term 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. [1].
    Wong, H.K.T., Kuo, I.: “GUIDE: Graphical User Interfacefor Database Exploration”, Proceedings of International Conference on VLDB, Mexico City, p. 11–21, 1982.Google Scholar
  2. [2].
    Zloof, M.M.: “Query—by—Example: a data base language”, IBM system journal, Vol. 16 (4), p. 324–343, April, 1977.CrossRefGoogle Scholar
  3. [3].
    Chang, N.S.: “Picture Query Language for Pictorial Database System”, IEEE Computer, Vol. 14 (11), p. 23–33, November, 1981.Google Scholar
  4. [4].
    Rogers, T.R, Cattell, R.G.G.: “Entity Relationship Database User Interfaces”, Proceedings of 6th International Conference on Entity—Relationship Approach, p. 323–335, 1987.Google Scholar
  5. [5].
    Kim, H.J., Korth, H.F., Silberschatz, A.: “PICASSO: A Graphical Query Language”, Software—Practice and Experience, Vol. 18 (3), p. 169–203, March, 1988Google Scholar
  6. [6].
    Czejdo, B.: ‘Design and Implementation of an ER Query and Update Interface“, 1991 Symposium on Applied Computing, p.325–334, April, 1991.Google Scholar
  7. [7].
    Tahani, V.: “A Conceptual Framework for Fuzzy Query Processing — A Step toward Intelligent Database Systems”, Information Processing & Management, 13, pp. 289–303, 1977.MATHCrossRefGoogle Scholar
  8. [8].
    Buckles, B., Petry, F.: “Query Language for Fuzzy databases”, in Management Decision Support Systems Using Fuzzy Sets and Possibility Theory, Kacprzyk, J., Yager, R.R. (eds), 1985.Google Scholar
  9. [9].
    Umano, M.: “FREEDOM-O: A Fuzzy Database System”, in Fuzzy Information and Decision Processes, Gupta, M.M., Sanchez, E. (eds.), p. 339–347, Amsterdam: North—Holland, 1982Google Scholar
  10. [10].
    Prade, H., Testemale, C.: “Generalizing Database Relational Algebra for the Treatment of incomplete or Uncertainty Information and Vague Queries”, Information Sciences, Vol. 34, p. 115–143, 1984.MathSciNetMATHCrossRefGoogle Scholar
  11. [11].
    Zemankova—Leech, M., Kandel, A.: “Implementation Imprecision in Information Systems.” Information Sciences, Vol. 37, p. 107–141, 1985.CrossRefGoogle Scholar
  12. [12].
    Bosc, P., Pivert, O.: “Fuzzy Querying in Conventional Databases”, in Fuzzy Logic for the Management of Uncertainty, Zadeh, L.A., Kacprzyk, J. (eds), 646, New York: John Wiley & Sons, 1992.Google Scholar
  13. [13]
    Kunii, T.L.: ”RATAPLAN: An Interface Generator for Database Semantics“Information Sciences, Vol. 10, p. 279–298, 1976.Google Scholar
  14. [14].
    Shen. S.N.T., de Mora. C., Liu, L.: “The GKB Methodology as an Intelligent Tutoring System Builder”, Proceedings of International Conference on Intelligent Tutoring Systems, Montreal, Canada, p.90–96, June, 1988.Google Scholar

Copyright information

© Springer-Verlag/Wien 1994

Authors and Affiliations

  • Stewart N. T. Shen
    • 1
  • Jin Hu
    • 1
  1. 1.CS DepartmentOld Dominion UniversityNorfolkUSA

Personalised recommendations