Abstract
In this paper we show how support and confidence of agent requests for definitions of attribute values (rules) can be used by a distributed society of collaborating agents to improve query answering. Query answering system linked with each agent is different from solving queries by a conventional distributed database or cooperative database in the sense that it discovers rules, if needed, and uses them to resolve foreign attributes in a query. Each agent is seen either as a knowledge system coupled with a query-answering engine (see [8,9,101) or an extended relational DB (usually incomplete) coupled with a query answering engine. The quality of a query answering system of an agent is dependent on definitions (knowledge) he receives from other agents. If definitions of foreign attributes to an agent are more precise, then the new query replacing the original query may give more precise answer. Both support and confidence of agents requests for definitions (rules) can be computed and used to decide which agents should be contacted first to answer queries or if needed asked for additional help.
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Bibliography
Bosc, P., Pivert, O., Some approaches for relational databases flexible querying, in Journal of Intelligent Information Systems, Kluwer Academic Publishers, Vol. 1, 1992, 355–382
Chu, W.W., Chen, Q., Lee, R., Cooperative query answering via type abstraction hierarchy, in Cooperating Knowledge-based Systems (ed. S.M. Deen ), North Holland, 1991, 271–292
Cuppers, F., Demolombe, R., Cooperative answering: a methodology to provide intelligent access to databases, in Proceedings 2nd International Conference on Expert Database Systems, Virginia, USA, 1988
Fayyad, U.M., Piatetsky-Shapiro, G., Smyth, Uthurusamy, R., Advances in Knowledge Discovery and Data Mining, AAAI Press/MIT Press, 1996
Gaasterland, T., Godfrey, P., Minker, J., An overview of cooperative answering, Journal of Intelligent Information Systems, Kluwer Academic Publishers, Vol. 1, 1992, 123–158
Grzymala-Busse, J., Managing uncertainty in expert systems, Kluwer Academic Publishers, 1991
Pawlak, Z., Rough sets and decision tables, in Proceedings of the Fifth Symposium on Computation Theory, Springer Verlag, Lecture Notes in Computer Science, Vol. 208, 1985, 118–127
Ras, Z., Resolving queries through cooperation in multi-agent systems, in Rough Sets and Data Mining, (Eds. T.Y. Lin, N. Cercone ), Kluwer Academic Publishers, 1997, pp. 239–258
Ras, Z., Joshi, S., Query approximate answering system for an incomplete DKBS, in Fundamenta Informaticae Journal, IOS Press, Vol. 30, No. 3 /4, 1997, 313–324
Ras, Z., Collaboration control in distributed knowledge-based systems,in Information Sciences Journal Elsevier, Vol. 96, No. 3/4, 1997, pp. 193205
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© 2001 Springer-Verlag Berlin Heidelberg
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Ras, Z.W. (2001). The Role of Support and Confidence in Collaborative Query Answering. In: Kłopotek, M.A., Michalewicz, M., Wierzchoń, S.T. (eds) Intelligent Information Systems 2001. Advances in Intelligent and Soft Computing, vol 10. Physica, Heidelberg. https://doi.org/10.1007/978-3-7908-1813-0_19
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DOI: https://doi.org/10.1007/978-3-7908-1813-0_19
Publisher Name: Physica, Heidelberg
Print ISBN: 978-3-7908-1407-1
Online ISBN: 978-3-7908-1813-0
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