Abstract
Distributed information system is a system that connects a number of information systems using network communication technology. In this paper the notion of a distributed information system to talk about handling semantic inconsistencies between sites will be presented. Semantic inconsistencies are due to different interpretations of attributes and their values on the concepts level among sites. Different interpretations can be also linked with a different way of treating null values among sites. The notion of an optimal rough semantics and the method of its construction is proposed. The rough semantics is used there to model and to handle semantic inconsistencies among sites. Distributed chase is an algorithm linked with a client site which is similar to chase algorithms [2] with additional assumption concerning the creation of the knowledge base. The knowledge base at the client site contains rules extracted at the local information system or at information systems at its remote sites. In a distributed framework, the rules are coming from different remote sites, therefore they can be extracted under different semantics and although the names of the involved attributes can be the same, their granularity levels may differ from one site to another.
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Glebocka, A.D. (2004). Null Values and Chase in Distributed Information Systems. In: Negoita, M.G., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2004. Lecture Notes in Computer Science(), vol 3214. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30133-2_152
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DOI: https://doi.org/10.1007/978-3-540-30133-2_152
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