Towards Building Knowledge Centres on the World Wide Web

  • Zsolt T. Kardkovács
  • Gábor M. Surányi
  • Sándor Gajdos
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3261)


The amount of structured information published on the World Wide Web is huge and steadily increases. The demand for uniform management of these heterogeneous and autonomous sources is also increasing. In this paper we present a method which is capable of virtually integrating data sources with logical rules into a catalogue and more importantly, discovering similar entities across the information sources. We prove that the technique is algorithmically decidable. The resulting system is primarily suitable for applications which require an integrated view of all the distributed database components for querying only, such as web shops.


World Wide Description Logic Knowledge Centre Logical Rule Predicate Symbol 
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.
    Bergman, M.K.: The deep web: Surfacing hidden value. Journal of Electronic Publishing 7 (2001)Google Scholar
  2. 2.
    Kardkovács, Z.T., Surányi, G.M., Gajdos, S.: Application of catalogues to integrate heterogeneous data banks. In: Meersman, R., Tari, Z. (eds.) OTM-WS 2003. LNCS, vol. 2889, pp. 1045–1056. Springer, Heidelberg (2003)CrossRefGoogle Scholar
  3. 3.
    Kardkovács, Zs.T., Surányi, G.M., Gajdos, S.: On the integration of large data banks by a powerful cataloguing method. Periodica Polytechnica, Series Electrical Engineering (2004) (to appear)Google Scholar
  4. 4.
    Gutirrez, C., Hurtado, C., Mendelzon, A.O.: Foundations of semantic web databases. In: Proceedings of the 23rd ACM SIGMOD-SIGACT-SIGART symposium on Principles of Database Systems (PODS), pp. 95–106. ACM Press, New York (2004)Google Scholar
  5. 5.
    Abiteboul, S., Hull, R., Vianu, V.: Foundations of Databases. Addison-Wesley, Reading (1995)zbMATHGoogle Scholar
  6. 6.
    Kifer, M., Lausen, G., Wu, J.: Logical foundations of object-oriented and framebased languages. Journal of the ACM 42, 741–843 (1995)zbMATHCrossRefMathSciNetGoogle Scholar
  7. 7.
    Baader, F., Calvanese, D., McGuinness, D.L., Nardi, D., Patel-Schneider, P.F. (eds.): The Description Logic Handbook: Theory, implementation, and applications. Cambridge University Press, Cambridge (2003)zbMATHGoogle Scholar
  8. 8.
    Codd, E.F.: A relational model of data for large shared data banks. Communications of the ACM 13, 377–387 (1970)zbMATHCrossRefGoogle Scholar
  9. 9.
    Börger, E., Grädel, E., Gurevich, Y.: The Classical Decision Problem, 1st edn. Springer, Telos (1997)zbMATHGoogle Scholar
  10. 10.
    Plaisted, D.A., Zhu, Y.: The Efficiency of Theorem Proving Strategies: A Comparative and Asymptotic Analysis, 2nd edn. Friedrich Vieweg & Sohn (2006)Google Scholar
  11. 11.
    Kardkovács, Zs.T., Surányi, G.M., Gajdos, S.: Towards more expressive query languages in web services (Submitted for publication)Google Scholar
  12. 12.
    Surányi, G.M., Kardkovács, Z.T., Gajdos, S.: Catalogues from a new perspective: a data structure for physical organisation. In: Advances in Databases and Informations Systems – 8th East-European Conference. LNCS, Springer, Heidelberg (2004)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2004

Authors and Affiliations

  • Zsolt T. Kardkovács
    • 1
  • Gábor M. Surányi
    • 2
  • Sándor Gajdos
    • 3
  1. 1.Department of Telecommunications and Media Informatics, Database Education LaboratoryBudapest University of Technology and EconomicsBudapestHungary
  2. 2.Database Systems Research GroupFZI Research Center for Information TechnologiesKarlsruheGermany
  3. 3.Hewlett-Packard HungaryBudapestHungary

Personalised recommendations