[go: up one dir, main page]
More Web Proxy on the site http://driver.im/
Skip to main content
Springer Nature Link
Log in

A Data Model for Fuzzy Linguistic Databases with Flexible Querying

  • Conference paper
AI 2009: Advances in Artificial Intelligence (AI 2009)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 5866))

Included in the following conference series:

Abstract

Information to be stored in databases is often fuzzy. Two important issues in research in this field are the representation of fuzzy information in a database and the provision of flexibility in database querying, especially via including linguistic terms in human-oriented queries and returning results with matching degrees. Fuzzy linguistic logic programming (FLLP), where truth values are linguistic, and hedges can be used as unary connectives in formulae, is introduced to facilitate the representation and reasoning with linguistically-expressed human knowledge. This paper presents a data model based on FLLP called fuzzy linguistic Datalog for fuzzy linguistic databases with flexible querying.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Similar content being viewed by others

References

  1. Le, V.H., Liu, F., Tran, D.K.: Fuzzy linguistic logic programming and its applications. Theory and Practice of Logic Programming 9, 309–341 (2009)

    Article  MATH  MathSciNet  Google Scholar 

  2. Nguyen, C.H., Wechler, W.: Hedge algebras: An algebraic approach to structure of sets of linguistic truth values. Fuzzy Sets and Systems 35, 281–293 (1990)

    Article  MATH  MathSciNet  Google Scholar 

  3. Nguyen, C.H., Wechler, W.: Extended hedge algebras and their application to fuzzy logic. Fuzzy Sets and Systems 52, 259–281 (1992)

    Article  MATH  MathSciNet  Google Scholar 

  4. Ullman, J.D.: Principles of database and knowledge-base systems, vol. I, II. Computer Science Press, Inc., New York (1988,1990)

    Google Scholar 

  5. Hájek, P.: Metamathematics of Fuzzy Logic. Kluwer, Dordrecht (1998)

    MATH  Google Scholar 

  6. Lloyd, J.W.: Foundations of logic programming. Springer, Berlin (1987)

    MATH  Google Scholar 

  7. Pokorný, J., Vojtáš, P.: A data model for flexible querying. In: Caplinskas, A., Eder, J. (eds.) ADBIS 2001. LNCS, vol. 2151, pp. 280–293. Springer, Heidelberg (2001)

    Chapter  Google Scholar 

  8. Abiteboul, S., Hull, R., Vianu, V.: Foundations of databases. Addison-Wesley, USA (1995)

    MATH  Google Scholar 

  9. Ceri, S., Gottlob, G., Tanca, L.: Logic programming and databases. Springer, Berlin (1990)

    Google Scholar 

  10. Fuhr, N.: Probabilistic datalog: implementing logical information retrieval for advanced applications. J. Am. Soc. Inf. Sci. 51(2), 95–110 (2000)

    Article  MathSciNet  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Computer Science and Computer Engineering, La Trobe University, Bundoora, VIC, 3086, Australia

    Van Hung Le, Fei Liu & Hongen Lu

Authors
  1. Van Hung Le
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Fei Liu
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Hongen Lu
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Clayton School of Information Technology, Monash University, 3800, Clayton, VIC, Australia

    Ann Nicholson

  2. School of Computer Science and Information Technology, RMIT University, 3001, Melbourne, VIC, Australia

    Xiaodong Li

Rights and permissions

Reprints and permissions

Copyright information

© 2009 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Le, V.H., Liu, F., Lu, H. (2009). A Data Model for Fuzzy Linguistic Databases with Flexible Querying. In: Nicholson, A., Li, X. (eds) AI 2009: Advances in Artificial Intelligence. AI 2009. Lecture Notes in Computer Science(), vol 5866. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-10439-8_50

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-10439-8_50

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-10438-1

  • Online ISBN: 978-3-642-10439-8

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation