The ODESeW 2.0 semantic web application framework
Proceedings of the 15th international conference on World Wide Web
The Google Similarity Distance
IEEE Transactions on Knowledge and Data Engineering
LabelTranslator - a tool to automatically localize an ontology
ESWC'08 Proceedings of the 5th European semantic web conference on The semantic web: research and applications
Multilingual and Localization Support for Ontologies
ESWC 2009 Heraklion Proceedings of the 6th European Semantic Web Conference on The Semantic Web: Research and Applications
Proceedings of the fifth international conference on Knowledge capture
Ontology Graphical Editor for Multilingual Document Search System
FQAS '09 Proceedings of the 8th International Conference on Flexible Query Answering Systems
Cross-Lingual Ontology Mapping --- An Investigation of the Impact of Machine Translation
ASWC '09 Proceedings of the 4th Asian Conference on The Semantic Web
LabelTranslator - a tool to automatically localize an ontology
ESWC'08 Proceedings of the 5th European semantic web conference on The semantic web: research and applications
A note on ontology localization
Applied Ontology
A context-based model for the interpretation of polysemous terms
OTM'10 Proceedings of the 2010 international conference on On the move to meaningful internet systems: Part II
Combining statistical and semantic approaches to the translation of ontologies and taxonomies
SSST-5 Proceedings of the Fifth Workshop on Syntax, Semantics and Structure in Statistical Translation
Challenges for the multilingual Web of Data
Web Semantics: Science, Services and Agents on the World Wide Web
A note on ontology localization
Applied Ontology
Guidelines for multilingual linked data
Proceedings of the 3rd International Conference on Web Intelligence, Mining and Semantics
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Organizations working in amultilingual environment demand multilingual ontologies. To solve this problem we propose LabelTranslator, a system that automatically localizes ontologies. Ontology localization consists of adapting an ontology to a concrete language and cultural community. LabelTranslator takes as input an ontology whose labels are described in a source natural language and obtains the most probable translation into a target natural language of each ontology label. Our main contribution is the automatization of this process which reduces human efforts to localize an ontology manually. First, our system uses a translation service which obtains automatic translations of each ontology label (name of an ontology term) from/into English, German, or Spanish by consulting different linguistic resources such as lexical databases, bilingual dictionaries, and terminologies. Second, a ranking method is used to sort each ontology label according to similarity with its lexical and semantic context. The experiments performed in order to evaluate the quality of translation show that our approach is a good approximation to automatically enrich an ontology with multilingual information.