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ANEMONE: an effective minimal ontology negotiation environment

Published:08 May 2006Publication History

ABSTRACT

Communication in open heterogeneous multi agent systems is hampered by lack of shared ontologies. To overcome these problems, we propose a layered communication protocol which incorporates techniques for ontology exchange. Using this protocol, the agents gradually build towards a semantically integrated system by establishing minimal and effective shared ontologies. We tested our approach, called ANEMONE, on a number of heterogeneous news agents. We show how these agents successfully exchange information on news articles, despite initial difficulties raised by heterogeneous ontologies.

References

  1. FIPA Ontology Service Specification. http://www.fipa.org/specs/fipa00086/.]]Google ScholarGoogle Scholar
  2. http://news.bbc.co.uk/1/hi/help/3223484.stm.]]Google ScholarGoogle Scholar
  3. http://news.yahoo.com/rss.]]Google ScholarGoogle Scholar
  4. http://today.reuters.com/rss/newsrss.aspx.]]Google ScholarGoogle Scholar
  5. http://w.moreover.com/site/other/categories_rss.html?]]Google ScholarGoogle Scholar
  6. S. Bailin and W. Truszkowski. Ontology negotiation between intelligent information agents. Knowledge Engineering Review, 17(1):7--19, 2002.]] Google ScholarGoogle ScholarDigital LibraryDigital Library
  7. T. Bylander and B. Chandrasekaran. Generic tasks for knowledge-based reasoning: the right level of abstraction for knowledge acquisition. Int. J. Man-Mach. Stud., 26(2):231--243, 1987.]] Google ScholarGoogle ScholarDigital LibraryDigital Library
  8. J. v. Diggelen, R. Beun, F. Dignum, R. v. Eijk, and J.-J. Meyer. Combining normal communication with ontology alignment. Proceedings of the International Workshop on Agent Communication (AC'05).]]Google ScholarGoogle Scholar
  9. J. v. Diggelen, R. Beun, F. Dignum, R. v. Eijk, and J.-J. Meyer. A decentralized approach for establishing a shared communication vocabulary. Proceedings of the International Workshop on Agent Mediated Knowledge Management (AMKM'05) held with AAMAS 2005.]]Google ScholarGoogle Scholar
  10. J. v. Diggelen, R. Beun, F. Dignum, R. v. Eijk, and J.-J. Meyer. Optimal communication vocabularies and heterogeneous ontologies. In Developments in Agent Communication, LNAI 3396. Springer Verlag, 2004.]]Google ScholarGoogle Scholar
  11. C. Fellbaum. WordNet: An Electronic Lexical Database. MIT Press, 1998.]]Google ScholarGoogle ScholarCross RefCross Ref
  12. H. P. Grice. Logic and conversation. Cole, P., and J. L. Morgan, eds. Speech Acts. New York: Academic Press, 4158, 1975.]]Google ScholarGoogle Scholar
  13. P. Jackson and I. Moulinier. Natural Language Processing for Online Applications: Text retrieval, extraction, and categorization. John Benjamins Publishing, 2002.]]Google ScholarGoogle ScholarCross RefCross Ref
  14. T. Joachims. Making large-scale svm learning practical. Advances in Kernel Methods - Support Vector Learning, 1999.]] Google ScholarGoogle ScholarDigital LibraryDigital Library
  15. R. Kohavi and F. Provost. Machine Learning, (30):271--274, 1998.]] Google ScholarGoogle ScholarDigital LibraryDigital Library
  16. N. F. Noy and M. A. Musen. Prompt: Algorithm and tool for automated ontology merging and alignment. In Proceedings of the National Conference on Artificial Intelligence (AAAI), 2000.]] Google ScholarGoogle ScholarDigital LibraryDigital Library
  17. L.-K. Soh and C. Chen. Balancing ontological and operational factors in refining multiagent neigborhoods. Proceedings of the Fourth International Conference on Autonomous Agents and Multi-Agent Systems, 2005.]] Google ScholarGoogle ScholarDigital LibraryDigital Library
  18. L. Steels. Language as a complex adaptive system. In Proceedings of PPSN VI, Lecture Notes in Computer Science, Berlin, September 2000. Springer-Verlag.]] Google ScholarGoogle ScholarDigital LibraryDigital Library
  19. M. Uschold and M. Gruninger. Creating semantically integrated communities on the world wide web. Semantic Web Workshop Co-located with WWW 2002 Honolulu, 2002.]]Google ScholarGoogle Scholar
  20. A. Williams. Learning to share meaning in a multi-agent system. Autonomous Agents and Multi-Agent Systems, 8(2):165--193, 2004.]] Google ScholarGoogle ScholarDigital LibraryDigital Library

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            cover image ACM Conferences
            AAMAS '06: Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems
            May 2006
            1631 pages
            ISBN:1595933034
            DOI:10.1145/1160633

            Copyright © 2006 ACM

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            Association for Computing Machinery

            New York, NY, United States

            Publication History

            • Published: 8 May 2006

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