CLONA results for OAEI 2015

نویسندگان

  • Mariem El Abdi
  • Hazem Souid
  • Marouen Kachroudi
  • Sadok Ben Yahia
چکیده

This paper presents the results of Clona in the Ontology Alignment Evaluation Initiative campaign (OAEI) 2015. We only participated in Multifarm track, since Clona develops speci c techniques for aligning multilingual ontologies. We rst give an overview of our alignment system; then we detail the techniques used in our contribution to deal with cross-lingual ontology alignment. Last, we present the results with a thorough analysis and discussion, then we conclude by listing some future work on Clona. 1 Presentation of the system Multilingualism has become an issue of major interest for the Semantic Web community. This process has been accelerated due to a few initiatives which encourage all the active participants to make their data available to the public. Multilingualism is identi ed as one of the six challenges of the Semantic Web. Consequently, some solutions were proposed at the ontology level, annotation level and the interface level [1]. At the ontology level, the support should be conceived by the ontology designers to create knowledge representations in diverse natural languages. At the annotation level, tools should be developed to assist users in ontologies annotating independently of the natural languages adopted in their design and development. At the interface level, users should be able to have access to the information in natural languages of their own choice, without any linguistic restriction. The absence of the multilingual aspect coverage can be a real handicap during the information exchange in between various services o ered by the Semantic Web [2]. So, application elds are more and more numerous and they put in front very speci c di culties. Moreover, the multilingualism coverage allows the reasoning on the context intersections of various ontological representations. In this register, the issue of reasoning on overlapping context domains led to support multilingual information retrieval and digital content management. Multilingual

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تاریخ انتشار 2015