Title: Bridging the multilingualism gap in ontology alignment
Authors: Marouen Kachroudi; Sami Zghal; Sadok Ben Yahia
Addresses: Université de Tunis El Manar, Faculté des Sciences de Tunis, LIPAH Programmation Algorithmique et Heuristique, 2092, Tunis, Tunisia ' Université de Jendouba, Faculté des Sciences Juridiques, Economiques et de Gestion de Jendouba, 8189 Jendouba, Tunisia ' Université de Tunis El Manar, Faculté des Sciences de Tunis, LIPAH Programmation Algorithmique et Heuristique, 2092, Tunis, Tunisia; Institut Mines-TELECOM, TELECOM SudParis, UMR CNRS Samovar, 91011 Evry, Cedex, France
Abstract: In the semantic web context, research in ontology alignment has focused primarily on the development of monolingual matching algorithms. As more and more resources become available in more than one natural language, novel algorithms are required. The latter are capable of aligning ontologies which share more than one language. Indeed, translation techniques are often used as an intermediate step to translate ontology labels. This treatment essentially removes the natural language barrier in the alignment environment. To meet this challenge, we propose in this paper a new cross-lingual alignment method, designed to take into account the goal of dealing with ontologies expressed in different natural languages. The proposed method implements a strategy of a direct alignment based on the use of external resources. The results of performed tests with our method on different pairs of ontologies and according to several scenarios show their effectiveness.
Keywords: semantic web; interoperability; ontology alignment; multilingualism; external resource; multilingual alignment.
International Journal of Metadata, Semantics and Ontologies, 2014 Vol.9 No.3, pp.252 - 262
Received: 02 Apr 2013
Accepted: 03 Jan 2014
Published online: 03 Jul 2014 *