Cross-Language Ontology Alignment Utilizing Machine Translation Models

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Conference Proceedings (fully refereed)
19
11
2013
Koukourikos
A. Koukourikos, P. Karampiperis, G. Stoitsis
In the context of ontology alignment, linguistic analysis is a prominent solution, used by various proposed methodologies. When mapping ontologies that use the same language, the existent approaches have been shown to produce significant results, being able to handle complex descriptions of the enclosed concepts and properties. In order to expand the applied linguistic methods in a cross-language context, i.e. to align ontologies that use different languages, it is essential to automate the process of finding lexical correspondences, beyond simple term translation, between the entity descriptions provided by the involved ontologies. The present paper proposes a machine learning approach to obtain the optimal from a set of translation provided by different automated machine translation services, in order to use it as the basis for aligning ontology pairs that provide complex descriptions expressed in different languages.
Software and Knowledge Engineering Laboratory (SKEL)
Conference Short Name: 
MTSR 2013
Conference Full Name: 
7th Metadata and Semantics Research Conference
Conference Country: 
GR:Greece
Conference City: 
Thessaloniki
Conference Date(s): 
Tue, 19/11/2013 - Fri, 22/11/2013
Conference Level: 
International
Publisher: 
Springer International Publishing
Volume: 
390
Page Start: 
75
Page End: 
86
ISBN Code: 
978-3-319-03436-2 (print), 978-3-319-03437-9 (online)

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