Abstract
In the paper a problem of semantic integration of XML data in a distributed heterogeneous system is considered. In the system local data sources are organized upon different schemas of labelled graph structures. Agents manage its local data, and communicate and cooperate with each other by asking and answering queries. To establish the appropriate models for the problem the information flow theory is chosen with the abstract notions of classification and infomorphism. Generalized terms from extended logic programming systems are used to implement the notions. They are intended to represent structure and semantics of data and to model partial data. The extended unification operation plays the primary role in query reformulation and data merging tasks. An algorithm of automatic inferring mappings between XML schemas is defined over the operation. Equipped with automated reasoning and partial evaluation technique the constraint logic programming systems are particularly suitable for data integration task.
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Brzykcy, G. (2010). Information Flow Based Specification of Data Integration Problem. In: Jędrzejowicz, P., Nguyen, N.T., Howlet, R.J., Jain, L.C. (eds) Agent and Multi-Agent Systems: Technologies and Applications. KES-AMSTA 2010. Lecture Notes in Computer Science(), vol 6070. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13480-7_20
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DOI: https://doi.org/10.1007/978-3-642-13480-7_20
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