6 research outputs found

    From fuzzy to annotated semantic web languages

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    The aim of this chapter is to present a detailed, selfcontained and comprehensive account of the state of the art in representing and reasoning with fuzzy knowledge in Semantic Web Languages such as triple languages RDF/RDFS, conceptual languages of the OWL 2 family and rule languages. We further show how one may generalise them to so-called annotation domains, that cover also e.g. temporal and provenance extensions

    Managing uncertainty and vagueness in description logics, logic programs and description logic programs

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    Managing uncertainty and/or vagueness is starting to play an important role in Semantic Web representation languages. Our aim is to overview basic concepts on representing uncertain and vague knowledge in current Semantic Web ontology and rule languages (and their combination)

    Approximate well-founded semantics, query answering and generalized normal logic programs over lattices

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