A new bidirectional method for ontologies matching

Abstract Recently, much research has focused on developing techniques for schema/ontology matching and mapping as it is required in many areas e.g. heterogeneous database integration, merging of ontologies, semantic query processing. In this paper, we present a novel method to detect and repair the list of homologs concepts; this last is based on the bidirectional comparison (Checking) between the two matched ontologies to filter this list of concepts. The used measures are classical just to show the reliability and realisability of our method, but we can generalize it for supporting other advanced measures.

[1]  J. Euzenat,et al.  Ontology Matching , 2007, Springer Berlin Heidelberg.

[2]  David W. Embley,et al.  Automatic direct and indirect schema mapping: experiences and lessons learned , 2004, SGMD.

[3]  Farshad Hakimpour,et al.  Global Schema Generation Using Formal Ontologies , 2002, ER.

[4]  Yannis Kalfoglou,et al.  Ontology mapping: the state of the art , 2003, The Knowledge Engineering Review.

[5]  Thomas R. Gruber,et al.  A translation approach to portable ontology specifications , 1993, Knowl. Acquis..

[6]  Nikos Rizopoulos.  Automatic Discovery of Semantic Relationships Between Schema Elements , 2004, ICEIS.

[7]  Erhard Rahm,et al.  A survey of approaches to automatic schema matching , 2001, The VLDB Journal.

[8]  Erhard Rahm,et al.  Generic Schema Matching with Cupid , 2001, VLDB.

[9]  Alexandra Poulovassilis,et al.  Using AutoMed for XML data transformation and integration , 2004, DIWeb.

[10]  Erhard Rahm,et al.  Schema and ontology matching with COMA++ , 2005, SIGMOD '05.

[11]  David Sheeren.  Méthodologie d'évaluation de la cohérence inter-représentations pour l'intégration de bases de données spatiales. Une approche combinant l'utilisation de métadonnées et l'apprentissage automatique. , 2005 .

[12]  Abdeltif Elbyed.  ROMIE, une approche d'alignement d'ontologies à base d'instances. (ROMIE, Resource based Ontology Mapping within an Interactive and Extensible environment) , 2009 .

[13]  Engelbert Mephu Nguifo,et al.  SODA : Une approche structurelle pour l'alignement d'ontologies OWL-DL , 2007 .

[14]  Heiner Stuckenschmidt,et al.  Ontology-Based Integration of Information - A Survey of Existing Approaches , 2001, OIS@IJCAI.

[15]  Frederico T. Fonseca,et al.  Bridging Ontologies and Conceptual Schemas in Geographic Information Integration , 2003, GeoInformatica.

[16]  Jérôme Euzenat,et al.  A Survey of Schema-Based Matching Approaches , 2005, J. Data Semant..