Abstract
With the wide utilization of description logics ( DLs), researches on applications of DLs have become the important research lines in the Semantic Web. In particular, DLs have been deeply studied in database modeling. This paper proposes a description logic approach to represent and reason on fuzzy object-oriented database (FOOD) models. After recalling some basic notions of FOOD models and a fuzzy DL called f-ALCIQ( D), we propose a kind of formal definition and semantics of FOOD models. On this basis, representation and reasoning of FOOD models with f-ALCIQ( D) is studied. We first translate a FOOD model and its corresponding database instance into an f-ALCIQ( D) knowledge base (i.e., TBox and ABox), and further implement a prototype translation tool called FOOD2DL. Then, based on the translated f-ALCIQ( D) knowledge bases, we investigate how to reason on FOOD models (e.g., consistency, subsumption, and redundancy) through the reasoning mechanism of f-ALCIQ( D). The formalization in f-ALCIQ( D) of FOOD models makes it possible to improve the ability of reasoning on database models by means of the inference services offered by fuzzy DLs.
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