IKARUS-Onto: a methodology to develop fuzzy ontologies from crisp ones

Authors:
Panos Alexopoulos;Manolis Wallace;Konstantinos Kafentzis;Dimitris Askounis
Affiliations:
IMC Technologies, Athens, Greece and National Technical University of Athens, School of Electrical and Computer Engineering, Athens, Greece;University of Peloponnese, Department of Computer Science and Technology, Tripolis, Greece;IMC Technologies, Athens, Greece;National Technical University of Athens, School of Electrical and Computer Engineering, Athens, Greece
Venue:
Knowledge and Information Systems
Year:
2012

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Abstract

Fuzzy Ontologies comprise a relatively new knowledge representation paradigm that is being increasingly applied in application scenarios in which the treatment and utilization of vague or imprecise knowledge are important. However, the majority of research in the area has mostly focused on the development of conceptual formalisms for representing (and reasoning with) fuzzy ontologies, while the methodological issues entailed within the development process of such an ontology have been so far neglected. With that in mind, we present in this paper IKARUS-Onto, a comprehensive methodology for developing fuzzy ontologies from existing crisp ones that significantly enhances the effectiveness of the fuzzy ontology development process and the quality, in terms of accuracy, shareability and reusability, of the process’s output.