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Vagueness in Semantic Information Management

by Senior Researcher at iSOCO on Jul 15, 2013

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The phenomenon of vagueness, manifested by terms and concepts like Tall, Red, Modern, etc., is quite common in human knowledge and it is related to our inability to precisely determine the extensions ...

The phenomenon of vagueness, manifested by terms and concepts like Tall, Red, Modern, etc., is quite common in human knowledge and it is related to our inability to precisely determine the extensions of such terms due to their blurred applicability boundaries. In the context of Ontologies and Semantic Web, vagueness is primarily treated by means of Fuzzy Ontologies, namely extensions of classical ontologies that apply truth degrees to vague ontological elements in an effort to quantify their vagueness and reason with it. Nevertheless, while a number of fuzzy conceptual formalisms and fuzzy ontology language extensions for representing vagueness in ontologies have been proposed by the community, the methodological issues entailed within the development process of such ontologies have been rather neglected. In this talk we position vagueness within the overall lifecycle of semantic information management and we present IKARUS-Onto, a methodology for engineering fuzzy ontologies that covers all typical ontology development stages, from specification to validation.

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  • danieljamesgreene Daniel Greene, Interpreter / Trainer at Freelance I teach interpreters how to transfer vague meanings between languages. Your slides give me more to think about and another example of how people other than 'interpreters' are implementing the 'interpretation' of vague language in practical applications. Thanks for sharing! 8 months ago
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