EMERALD: A Multi-Agent System for Knowledge-Based Reasoning Interoperability in the Semantic Web

  • Kalliopi Kravari
  • Efstratios Kontopoulos
  • Nick Bassiliades
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6040)


The Semantic Web aims at augmenting the WWW with meaning, assisting people and machines in comprehending Web content and better satisfying their requests. Intelligent agents are considered to be greatly favored by Semantic Web technologies, because of the interoperability the latter will achieve. One of the main problems in agent interoperation is the great variety in reasoning formalisms, as agents do not necessarily share a common rule or logic formalism. This paper reports on the implementation of EMERALD, a knowledge-based framework for interoperating intelligent agents in the Semantic Web. More specifically, a multi-agent system was developed on top of JADE, featuring trusted, third party reasoning services, a reusable agent prototype for knowledge-customizable agent behavior, as well as a reputation mechanism for ensuring trust in the framework. Finally, a use case scenario is presented that illustrates the viability of the proposed framework.


semantic web intelligent agents multi-agent system reasoning 


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  1. 1.
    Hendler, J.: Agents and the Semantic Web. IEEE Intelligent Systems 16(2), 30–37 (2001)CrossRefGoogle Scholar
  2. 2.
  3. 3.
    Bassiliades, N., Vlahavas, I.: R-DEVICE: An Object-Oriented Knowledge Base System for RDF Metadata. Int. J. on Semantic Web and Information Systems 2(2), 24–90 (2006)Google Scholar
  4. 4.
  5. 5.
    Nute, D.: Defeasible Reasoning, 20th Int. Conference on Systems Science, pp. 470–477. IEEE Press, Los Alamitos (1987)Google Scholar
  6. 6.
    Bassiliades, N., Antoniou, G., Vlahavas, I.: A Defeasible Logic Reasoner for the Semantic Web. Int. J. on Semantic Web and Information Systems 2(1), 1–41 (2006)Google Scholar
  7. 7.
    Lam, H., Governatori, G.: The Making of SPINdle. Rule ML 2009. Int. Symp. on Rule Interchange and Applications, 315–322 (2009)Google Scholar
  8. 8.
    Kravari, K., Kontopoulos, E., Bassiliades, N.: A Trusted Defeasible Reasoning Service for Brokering Agents in the Semantic Web. In: 3rd Int. Symp. on Intelligent Distributed Computing (IDC 2009), Cyprus, vol. 237, pp. 243–248. Springer, Heidelberg (2009)CrossRefGoogle Scholar
  9. 9.
    Kravari, K., Kontopoulos, E., Bassiliades, N.: Towards a Knowledge-based Framework for Agents Interacting in the Semantic Web. In: IEEE/WIC/ACM Int. Conf. on Intelligent Agent Technology (IAT 2009), Italy, vol. 2, pp. 482–485 (2009)Google Scholar
  10. 10.
  11. 11.
    Macarthur, K.: Trust and Reputation in Multi-Agent Systems, AAMAS, Portugal (2008)Google Scholar
  12. 12.
    Antoniou, G., Harmelen, F.: A Semantic Web Primer. MIT Press, Cambridge (2004)Google Scholar
  13. 13.
    Antoniou, G., Skylogiannis, T., Bikakis, A., Bassiliades, N.: DR-BROKERING – A Defeasible Logic-Based System for Semantic Brokering. In: IEEE Int. Conf. on E-Technology, E-Commerce and E-Service, pp. 414–417 (2005)Google Scholar
  14. 14.
    Skylogiannis, T., Antoniou, G., Bassiliades, N., Governatori, G., Bikakis, A.: DR-NEGOTIATE - A System for Automated Agent Negotiation with Defeasible Logic-based Strategies. Data & Knowledge Engineering 63(2), 362–380 (2007)CrossRefGoogle Scholar
  15. 15.
    Paschke, A., Boley, H., Kozlenkov, A., Craig, B.: Rule responder: RuleML-based Agents for Distributed Collaboration on the Pragmatic Web. In: 2nd Int. Conf. on Pragmatic Web, vol. 280, pp. 17–28. ACM, New York (2007)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

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

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