Interoperability is a strong requirement in open distributed systems and in the Semantic Web. The need for ontology integration is not always completely met by the available ontology matching techniques because, in most cases, the semantics of the compared ontologies is not considered, thus leading to inconsistent mappings. Probabilistic approaches has been proposed to validate mappings and solve the inconsistencies, based on a mapping confidence measure. As probabilistic approaches suffer from the lack of well-founded likelihood measures of mapping correctness, we propose a validation approach based on fuzzy interpretation of mappings, which better models the notion of degree of similarity between ontology elements. Moreover, we describe a conflict resolution method which computes the minimal sets of conflicting mappings and can be the ground of different validation strategies.

Resolution of conflicts among ontology mappings : a fuzzy approach / A. Ferrara, D. Lorusso, G. Stamou, G. Stoilos, V. Tzouvaras, T. Venetis - In: OM-2008 : ontology matching : proceedings of the 3rd International workshop on ontology matching, collocated with the 7th International Semantic Web Conference : Karlsruhe, Germany, october 26, 2008 / [a cura di] P. Shvaiko, J. Euzenat, F. Giunchiglia, H. Stuckenschmidt. - Aachen : CEUR, 2008. - pp. 13-24 (( Intervento presentato al 7. convegno International Semantic Web Conference (ISWC) tenutosi a Karlsruhe, Germany nel 2008.

Resolution of conflicts among ontology mappings : a fuzzy approach

A. Ferrara
;
D. Lorusso;
2008

Abstract

Interoperability is a strong requirement in open distributed systems and in the Semantic Web. The need for ontology integration is not always completely met by the available ontology matching techniques because, in most cases, the semantics of the compared ontologies is not considered, thus leading to inconsistent mappings. Probabilistic approaches has been proposed to validate mappings and solve the inconsistencies, based on a mapping confidence measure. As probabilistic approaches suffer from the lack of well-founded likelihood measures of mapping correctness, we propose a validation approach based on fuzzy interpretation of mappings, which better models the notion of degree of similarity between ontology elements. Moreover, we describe a conflict resolution method which computes the minimal sets of conflicting mappings and can be the ground of different validation strategies.
Settore INF/01 - Informatica
Settore ING-INF/05 - Sistemi di Elaborazione delle Informazioni
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2434/227042
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