Background Ontology Used in Ontologies Alignment to Support Integration Process of Business Components

The approaches for building new information systems based on the integration of reusable components require to hide the semantic heterogeneity which needs a detecting and resolving semantic conflict. The integration systems and semantic conflict resolution are based mostly on ontology alignment techniques. In this work, we focus on semantic integration of Business Components (BC). That’s why; we rely on the ontologies alignment for resolving semantic conflict. Our contribution concerns a solution for the integration of BC based on the ontologies alignment in order to support information system designers

[1]  Abderrahim Sekkaki,et al.  An Ontology-Based Method for Semantic Integration of Business Components , 2011, 2011 11th Annual International Conference on New Technologies of Distributed Systems.

[2]  Abderrahim Sekkaki,et al.  A model for semantic integration of business components , 2010, ArXiv.

[3]  Chantal Reynaud,et al.  Alignement d'ontologies basé sur des ressources complémentaires Illustration sur le système TaxoMap , 2009, Tech. Sci. Informatiques.

[4]  Jean Bézivin,et al.  A Canonical Scheme for Model Composition , 2006, ECMDA-FA.

[5]  Marinos Kavouras A unified ontological framework for semantic integration , 2004 .

[6]  Faïez Gargouri,et al.  Détermination automatique des relations sémantiques entre les concepts d'une ontologie , 2006, INFORSID.

[7]  Michel C. A. Klein,et al.  Matching Unstructured Vocabularies Using a Background Ontology , 2006, EKAW.

[8]  Ibtissem Hassine Spécification et formalisation des démarches de développement à base de composants métier : la démarche Symphony , 2005 .

[9]  Stefan Seedorf,et al.  Applications of Ontologies in Software Engineering , 2006 .

[10]  James E. Carey,et al.  Business components , 2001 .

[11]  Rajaa Saidi,et al.  Conception et usage des composants métier processus pour les systèmes d'information. (Design and usage of process business components for information systems) , 2009 .

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

[13]  Enrico Motta,et al.  Using the Semantic Web as Background Knowledge for Ontology Mapping , 2006, Ontology Matching.

[14]  Jean-Yves Lafaye,et al.  Génération d'ontologie à partir d'un modèle métier UML annoté , 2008 .