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Query Answering Driven by Collaborating Agents

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 120))

Abstract

We assume that there is a group of collaborating agents where each agent is defined as an Information System coupled with a Query Answering System (QAS). Values of attributes in an information system S form atomic expressions of a language used by the agent associated with S to communicate with other agents. Collaboration among agents is initiated when one of the agent’s, say the one associated with S and called a client, is asked by user to resolve a query containing nonlocal attributes for S. Then, the client will ask for help other agents to have that query answered. As the result of this request, knowledge in the form of defnitions of locally foreign attribute values for S is extracted at information systems representing other agents and sent to the client. The outcome of this step is a knowledge-base KB created at the client site and used to answer the query. In this paper we present a method of identifying which agents are semantically the closest to S and show that the precision and recall of QAS is getting increased when only these agents are ask for help by the client.

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References

  1. Benjamins, V.R., Fensel, D., Prez, A.G.: Knowledge management through ontologies. In: Proceedings of the 2nd International Conference on Practical Aspects of Knowledge Management (PAKM 1998), Basel, Switzerland (1998)

    Google Scholar 

  2. Chandrasekaran, B., Josephson, J.R., Benjamins, V.R.: The ontology of tasks and methods. In: Proceedings of the 11th Workshop on Knowledge Acquisition, Modeling and Management, Banff, Alberta, Canada (1998)

    Google Scholar 

  3. Dardzinska, A., Ras, Z.W.: On Rules Discovery from Incomplete Information Systems. In: Lin, T.Y., Hu, X., Ohsuga, S., Liau, C. (eds.) Proceedings of ICDM 2003 Workshop on Foundations and New Directions of Data Mining, Melbourne, Florida, pp. 31–35. IEEE Computer Society, Los Alamitos (2003)

    Google Scholar 

  4. Fensel, D.: Ontologies: a silver bullet for knowledge management and electronic commerce. Springer, Heidelberg (1998)

    MATH  Google Scholar 

  5. Guarino, N. (ed.): Formal Ontology in Information Systems. IOS Press, Amsterdam (1998)

    Google Scholar 

  6. Guarino, N., Giaretta, P.: Ontologies and knowledge bases, towards a terminological clarification. In: Towards Very Large Knowledge Bases: Knowledge Building and Knowledge Sharing. IOS Press, Amsterdam (1995)

    Google Scholar 

  7. Pawlak, Z.: Information systems - theoretical foundations. Information Systems Journal 6, 205–218 (1981-1991)

    Google Scholar 

  8. Ras, Z.W., Dardzinska, A.: Ontology Based Distributed Autonomous Knowledge Systems. Information Systems International Journal 29(1), 47–58 (2004)

    Google Scholar 

  9. Ras, Z.W., Dardzinska, A.: Solving Failing Queries through Cooperation and Collaboration. World Wide Web Journal 9(2), 173–186 (2006)

    Article  Google Scholar 

  10. Ras, Z.W., Joshi, S.: Query approximate answering system for an incomplete DKBS. Fundamenta Informaticae Journal 30(3/4), 313–324 (1997)

    MathSciNet  MATH  Google Scholar 

  11. Sowa, J.F.: Ontology, metadata, and semiotics. In: Ganter, B., Mineau, G.W. (eds.) ICCS 2000. LNCS (LNAI), vol. 1867, pp. 55–81. Springer, Heidelberg (2000)

    Chapter  Google Scholar 

  12. Sowa, J.F.: Knowledge Representation: Logical, Philosophical, and Computational Foundations. Brooks/Cole Publishing Co., Pacific Grove (2000b)

    Google Scholar 

  13. Sowa, J.F.: Ontological categories. In: Albertazzi, L. (ed.) Shapes of Forms: From Gestalt Psychology and Phenomenology to Ontology and Mathematics, pp. 307–340. Kluwer Academic Publishers, Dordrecht (1999a)

    Chapter  Google Scholar 

  14. Van Heijst, G., Schreiber, A., Wielinga, B.: Using explicit ontologies in KBS development. International Journal of Human and Computer Studies 46(2/3), 183–292 (1997)

    Article  MATH  Google Scholar 

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Dardzinska, A. (2010). Query Answering Driven by Collaborating Agents. In: Kim, Th., Vasilakos, T., Sakurai, K., Xiao, Y., Zhao, G., Ślęzak, D. (eds) Communication and Networking. FGCN 2010. Communications in Computer and Information Science, vol 120. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-17604-3_3

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  • DOI: https://doi.org/10.1007/978-3-642-17604-3_3

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-17603-6

  • Online ISBN: 978-3-642-17604-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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