Abstract
In the paper a problem of semantic integration of XML data in a peer-to-peer agent system is considered. In the system each agent manages its local data, and can communicate and cooperate with other agents by asking and answering queries. Problem of information flow between local data resources is analysed upon a channel theory. The abstract notions of classification and infomorphism are used to clarify the roles of queries and mappings in the system. The query reformulation task is modelled by the composition of an appropriate infomorphisms. In order to specify classifications and infomorphisms ψ-terms are used. Logic programming systems are chosen because of the logical variables and partial data representation, effective techniques of data unification and partial evaluation, suitable built-in terms and procedures, and automated reasoning.
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Brzykcy, G. (2009). Information Flow in a Peer-to-Peer Data Integration System. In: Håkansson, A., Nguyen, N.T., Hartung, R.L., Howlett, R.J., Jain, L.C. (eds) Agent and Multi-Agent Systems: Technologies and Applications. KES-AMSTA 2009. Lecture Notes in Computer Science(), vol 5559. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-01665-3_42
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DOI: https://doi.org/10.1007/978-3-642-01665-3_42
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