2008Unpublished venueRequires access

Service Description Ontology Language with Vague Representation

Dexin Zhao, Degan Zhang

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Abstract

Current existing service description languages are lack of representation about imprecise information on semantic level. OWL Web ontology language is an official W3C recommendation in ontology language that has recently been developed by the W3C. Although OWL has a powerful expressive ability on knowledge, it has no capability to represent the uncertainty information. In the context of Semantic Web and service discovery applications, concepts are rather vague than precise and there are increasing needs to deal with vague knowledge. This paperpsilas aim is to present an extension of OWL DL, named FEOWL, by adding a fuzzy value to the classes, properties, facts and axioms of the ontology following the fuzzy . FEOWL provides a conceptual formalism supporting service description ontology languages.

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What this paper is about

Current existing service description languages are lack of representation about imprecise information on semantic level. OWL Web ontology language is an official W3C recommendation in ontology language that has recently been developed by the W3C. Although OWL has a powerful expressive ability on knowledge, it has no capability to represent the uncertainty information. In the context of Semantic Web and service discovery applications, concepts are rather vague than precise and there are increasing needs to deal with vague knowledge. This paperpsilas aim is to present an extension of OWL DL, named FEOWL, by adding a fuzzy value to the classes, properties, facts and axioms of the ontology following the fuzzy . FEOWL provides a conceptual formalism supporting service description ontology languages.

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Available abstract

Current existing service description languages are lack of representation about imprecise information on semantic level. OWL Web ontology language is an official W3C recommendation in ontology language that has recently been developed by the W3C. Although OWL has a powerful expressive ability on knowledge, it has no capability to represent the uncertainty information. In the context of Semantic Web and service discovery applications, concepts are rather vague than precise and there are increasing needs to deal with vague knowledge. This paperpsilas aim is to present an extension of OWL DL, named FEOWL, by adding a fuzzy value to the classes, properties, facts and axioms of the ontology following the fuzzy . FEOWL provides a conceptual formalism supporting service description ontology languages.

Key concepts: Computer science, OWL-S, Ontology language, Ontology, Web Ontology Language, Semantic Web Rule Language, Upper ontology, Ontology Inference Layer

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