Abstract
Different communication mechanisms between ontologies and database (DB) systems have appeared in the last few years. However, several problems can arise during this communication, depending on the nature of the data represented and their representation structure, and these problems are often enhanced when a Fuzzy Database (FDB) is involved. An architecture that describes how such communication is established and which attends to all the particularities presented by both technologies, namely ontologies and FDB, is defined in this paper. Specifically, this proposal tries to solve the problems that emerge as a result of the use of heterogeneous platforms and the complexity of representing fuzzy data.
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Martínez-Cruz, C., Blanco, I.J., Vila, M.A. (2010). Describing Fuzzy DB Schemas as Ontologies: A System Architecture View. In: Hüllermeier, E., Kruse, R., Hoffmann, F. (eds) Information Processing and Management of Uncertainty in Knowledge-Based Systems. Applications. IPMU 2010. Communications in Computer and Information Science, vol 81. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14058-7_15
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DOI: https://doi.org/10.1007/978-3-642-14058-7_15
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