Applied Mathematics & Information Sciences

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Traditionally, data views are seen as static, syntactically correct, data sets. The semantics of the data is not explicitly encoded in Relational Databases (RDB) but implicitly on the applications. However, the needs to create context-aware browsing methods in changing scenarios are demanding more flexible mechanisms. Data views need to be semantically enriched for capturing the real world changes. In this paper, we evaluate the definition of a conceptual data model for the automatic ontology-based building of data views. Our tests show that our approach increases the flexibility of information systems while decreases their maintenance costs.

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