Abstract
New data warehouse tools for Semantic Web are becoming more and more necessary. The present paper formalizes one such a tool considering, on the one hand, the semantics and theorical foundations of Description Logic and, on the other hand, the current developments of information data generalization. The presented model is constituted by dimensions and multidimensional schemata and spaces. An algorithm to retrieve interesting spaces according to the data distribution is also proposed. Some ideas from Data Mining techniques are included in order to allow users to discover knowledge from the Semantic Web.
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Danger, R., Berlanga, R. (2008). A Semantic Web Approach for Ontological Instances Analysis. In: Filipe, J., Shishkov, B., Helfert, M., Maciaszek, L.A. (eds) Software and Data Technologies. ICSOFT ENASE 2007 2007. Communications in Computer and Information Science, vol 22. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-88655-6_20
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DOI: https://doi.org/10.1007/978-3-540-88655-6_20
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-88654-9
Online ISBN: 978-3-540-88655-6
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