Resolution of Conflicts Among Ontology Mappings: a Fuzzy Approach

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 con flict resolution method which computes the minimal sets of con flicting mappings and can be the ground of different validation strategies.

[1]  Dazhou Kang,et al.  Distributed Reasoning with Fuzzy Description Logics , 2007, International Conference on Computational Science.

[2]  Stefan Schlobach,et al.  Non-Standard Reasoning Services for the Debugging of Description Logic Terminologies , 2003, IJCAI.

[3]  Heiner Stuckenschmidt,et al.  Repairing Ontology Mappings , 2007, AAAI.

[4]  Liliana Ibanescu,et al.  Ontology Mapping Using Fuzzy Conceptual Graphs and Rules , 2008, ICCS Supplement.

[5]  Luciano Serafini,et al.  Distributed Description Logics: Assimilating Information from Peer Sources , 2003, J. Data Semant..

[6]  Umberto Straccia,et al.  Towards a Fuzzy Description Logic for the Semantic Web (Preliminary Report) , 2005, ESWC.

[7]  Silvana Castano,et al.  Mapping Validation by Probabilistic Reasoning , 2008, ESWC.

[8]  Baowen Xu,et al.  A Distributed and Fuzzy Extension of Description Logics , 2006, KES.

[9]  Andrea Calì,et al.  A Framework for Representing Ontology Mappings under Probabilities and Inconsistency , 2007, URSW.

[10]  Yarden Katz,et al.  Pellet: A practical OWL-DL reasoner , 2007, J. Web Semant..

[11]  G. Stamou,et al.  Reasoning with Very Expressive Fuzzy Description Logics , 2007, J. Artif. Intell. Res..

[12]  Ian Horrocks,et al.  From SHIQ and RDF to OWL: the making of a Web Ontology Language , 2003, J. Web Semant..

[13]  Yun Peng,et al.  A Bayesian Network Approach to Ontology Mapping , 2005, SEMWEB.

[14]  Jeff Z. Pan,et al.  Handling Imprecise Knowledge with Fuzzy Description Logic , 2006, Description Logics.

[15]  Umberto Straccia,et al.  oMAP: Combining Classifiers for Aligning Automatically OWL Ontologies , 2005, WISE.

[16]  Silvana Castano,et al.  Matching Ontologies in Open Networked Systems: Techniques and Applications , 2006, J. Data Semant..