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Ciaramella, PhD Thesis - Semantic Scholar In this thesis, we propose a situation- aware resource recommender, which helps mobile users to timely locate resources proactively. In particular, we consider the t- norm- based semantics for fuzzy DLs introduced by Hajek in.
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Since then, many tableau algorithms have been developed for reasoning in fuzzy DLs. It focuses on enhancing the process of extracting association rules from a huge database respecting a predefined domain fuzzy ontology.

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The description of fuzzy and classic database schemas allows access to online public databases for which no other semantic description is associated. A crisp representation for fuzzy SHOIN with fuzzy nominals and general concept inclusions.

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