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Multi Agent Ontology Mapping Framework in the AQUA Question Answering System

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Abstract

This paper describes an ontology-mapping framework in the context of query answering (QA). In order to incorporate uncertainty inherent to the mapping process, the system uses the Dempster-Shafer model for dealing with incomplete and uncertain information produced during the mapping. A novel approach is presented how specialized agents with partial local knowledge of the particular domain achieve ontology mapping without creating global or reference ontology. Our approach is particularly fit for a query-answering scenario, where an answer needs to be created in real time that satisfies the query posed by the user.

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References

  1. Vargas-Vera, M., Motta, E.: AQUA - Ontology-based Question Answering System. In: Monroy, R., Arroyo-Figueroa, G., Sucar, L.E., Sossa, H. (eds.) MICAI 2004. LNCS, vol. 2972, pp. 468–477. Springer, Heidelberg (2004)

    Chapter  Google Scholar 

  2. Vargas-Vera, M., Motta, E., Domingue, J.: AQUA: An Ontology-Driven Question Answering System. In: AAAI Spring Symposium, New Directions in Question Answering. Stanford University, March 24-26 (2003)

    Google Scholar 

  3. Glenn, S.: A Mathematical Theory of Evidence. Princeton University Press, Princeton (1976)

    MATH  Google Scholar 

  4. Haveliwala, T., Gionis, A., Klein, D., Indyk, P.: Evaluating strategies for similarity search on the web. In: Proceedings of WWW, Hawai, USA (May 2002)

    Google Scholar 

  5. Vargas-Vera, M., Motta, E.: A Knowledge-Based Approach to Ontologies Data Integration. KMi-TR-152, The Open University (July 2004)

    Google Scholar 

  6. Vargas-Vera, M., Motta, E.: An Ontology-driven Similarity Algorithm. KMI-TR-151, Knowledge Media Institute, The Open University (July 2004)

    Google Scholar 

  7. Garcia-Molina, H., Papakonstantinou, Y., Quass, D., Rajararnan, A., Sagiv, Y., Ullman, J., Vassalos, V., Widom, J.: The TSIMMIS Approach to Mediation: Data Models and Languages. Journal of Intelligent Information Systems 8(2), 117–132 (1997)

    Article  Google Scholar 

  8. Halevy, A.: The Information manifold approach to data integration. IEEE Intelligent Systems 13, 12–16 (1998)

    Google Scholar 

  9. Bayardo, R., et al.: Infosleuth Agent-based Semantic Integration of Information in Open and Dynamic Environments. In: Proceedings of ACM SIGMOD Conference on Management of Data, pp. 195–206. Tucson, Arizona (1997)

    Chapter  Google Scholar 

  10. Beneventano, D., Bergamaschi, S., Guerra, F., Vincini, M.: The MOMIS Approach to Information Integration. ICEIS (1), 194–198 (2001)

    Google Scholar 

  11. Doan, A.H., Madhavan, J., Domingos, P., Halevy, A.: Learning to Map between Ontologies on the Semantic Web. In: WWW 2002 (2002)

    Google Scholar 

  12. Ding, Z., Peng, Y., Pan, R.: A Bayesian Approach to Uncertainty Modeling in OWL Ontology. In: Proceedings of 2004 International Conference on Advances in Intelligent Systems - Theory and Applications (AISTA 2004), Luxembourg-Kirchberg, Luxembourg, November 15-18 (2004)

    Google Scholar 

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© 2005 Springer-Verlag Berlin Heidelberg

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Nagy, M., Vargas-Vera, M., Motta, E. (2005). Multi Agent Ontology Mapping Framework in the AQUA Question Answering System. In: Gelbukh, A., de Albornoz, Á., Terashima-Marín, H. (eds) MICAI 2005: Advances in Artificial Intelligence. MICAI 2005. Lecture Notes in Computer Science(), vol 3789. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11579427_8

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  • DOI: https://doi.org/10.1007/11579427_8

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-29896-0

  • Online ISBN: 978-3-540-31653-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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