A Trusted Defeasible Reasoning Service for Brokering Agents in the Semantic Web

  • Kalliopi Kravari
  • Efstratios Kontopoulos
  • Nick Bassiliades
Part of the Studies in Computational Intelligence book series (SCI, volume 237)

Abstract

Based on the plethora of proposals and standards for logic- and rulebased reasoning for the Semantic Web (SW), a key factor for SW agents is reasoning task interoperability. This paper reports on a framework for interoperable reasoning among agents in the SW that deploys third-party trusted reasoning services. This way, agents can exchange arguments, without conforming to a common rule or logic paradigm; via an external reasoning service, the receiving agent can grasp the semantics of the received rule set. The paper presents how a multi-agent system was extended with a third-party trusted defeasible reasoning service, which offers agents the ability of reasoning with incomplete and inconsistent information. In addition, a brokering trade scenario is presented that illustrates the usability of the approach.

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References

  1. 1.
    Antoniou, G., Skylogiannis, T., Bikakis, A., Bassiliades, N.: Dr-brokering - a defeasible logic-based system for semantic brokering. In: Proc. IEEE International Conference on E-Technology, E-Commerce and E-Service, pp. 414–417. IEEE, Los Alamitos (2005)CrossRefGoogle Scholar
  2. 2.
    Antoniou, G., van Harmelen, F.: A Semantic Web Primer. MIT Press, Cambridge (2004)Google Scholar
  3. 3.
    Bassiliades, N., Antoniou, G., Vlahavas, I.: A defeasible logic reasoner for the semantic web. IJSWIS 2(1), 1–41 (2006)Google Scholar
  4. 4.
    Benjamins, R., Wielinga, B., Wielemaker, J., Fensel, D.: An intelligent agent for brokering problem-solving knowledge. In: Mira, J. (ed.) IWANN 1999. LNCS, vol. 1607, pp. 693–705. Springer, Heidelberg (1999)CrossRefGoogle Scholar
  5. 5.
    Berners-Lee, T., Hendler, J., Lassila, O.: The semantic web. Scientific American (May 2001)Google Scholar
  6. 6.
    Boley, H.: The ruleml family of web rule languages. In: Alferes, J.J., Bailey, J., May, W., Schwertel, U. (eds.) PPSWR 2006. LNCS, vol. 4187, pp. 1–17. Springer, Heidelberg (2006)CrossRefGoogle Scholar
  7. 7.
    Genesereth, M., Fikes, R.: Knowledge interchange format version 3.0 reference manual. Technical report, Logic Group, Comp. Sc. Dept., Stanford Univ. (1992)Google Scholar
  8. 8.
    Hendler, J.: Agents and the semantic web. IEEE Intelligent Systems 2(16), 30–37 (2001)CrossRefGoogle Scholar
  9. 9.
    Kifer, M.: Rule interchange format: The framework. In: Calvanese, D., Lausen, G. (eds.) RR 2008. LNCS, vol. 5341, pp. 1–11. Springer, Heidelberg (2008)CrossRefGoogle Scholar
  10. 10.
    Macarthur, K.: Trust and reputation in multi-agent systems. In: Proc. AAMAS 2008, May 12-16 (2007)Google Scholar
  11. 11.
    Nute, D.: Defeasible reasoning. In: Proc. 20th International Conference on Systems Science, pp. 470–477. IEEE Press, Los Alamitos (1987)Google Scholar
  12. 12.
    Paschke, A., Boley, H., Kozlenkov, A., Craig, B.: Rule responder: Ruleml-based agents for distributed collaboration on the pragmatic web. In: Proc. 2nd International Conference on Pragmatic Web, pp. 17–28. ACM, New York (2007)CrossRefGoogle Scholar
  13. 13.
    Skylogiannis, T., Antoniou, G., Bassiliades, N., Governatori, G., Bikakis, A.: Dr-negotiate - a system for automated agent negotiation with defeasible logic-based strategies. DKE 63(2), 362–380 (2007)CrossRefGoogle Scholar
  14. 14.
    Wagner, G., Giurca, A., Lukichev, S.: R2ml: A general approach for marking up rules. In: Marchiori, M., Fages, F., Ohlbach, H. (eds.) Principles and Practices of Semantic Web Reasoning, Dagstuhl Seminar Proceedings 05371 (2005)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Kalliopi Kravari
    • 1
  • Efstratios Kontopoulos
    • 1
  • Nick Bassiliades
    • 1
  1. 1.Dept. of InformaticsAristotle University of ThessalonikiThessalonikiGreece

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