Ontology localization consists in adapting an ontology to a specific natural language and culture community. LabelTranslator takes as input an ontology or set of ontologies whose labels are specified in a given natural language and obtains the most probable translation of each ontology component label in a target natural language.

The main functionalities of our tool are: i) obtains a ranked set of translations for each ontology component label, ii) stores the additional linguistic information associated to each label, and iii) uses a synchronization mechanism to maintain ontologies and their associated linguistic information always up to date.

LabelTranslator is implemented in Java suitable for being installed on Linux or Windows platforms.

LabelTranslator needs NeOn ToolKit version 1.2 and onwards.

i) translation service automatically obtains a set of applicable translations of an ontology component label.

ii) translation ranking service sorts these translations according to the similarity with its lexical and semantic context, by means of external lexical resources, and

iii) linguistic model (LIR) stores the linguistic information associated to the translated label.

The added value of this technology is the automatization of the localization process which reduces human efforts to localize manually the ontology.

This work has been funded by the NeOn project (http://www.neon-project.org/).

• Mauricio Espinoza, Asunción Gómez-Pérez and Eduardo Mena, “Enriching an Ontology with Multilingual Information”, Proc. of 5th European Semantic Web Conference (ESWC’08), Tenerife (Spain), Springer Verlag LNCS, pp. 333-347, June 2008.
• Mauricio Espinoza, Asunción Gómez-Pérez and Eduardo Mena, “LabelTranslator – A Tool to Automatically Localize an Ontology”, Proc. of 5th European Semantic Web Conference (ESWC’08), Tenerife (Spain), Springer Verlag LNCS, ISBN 978-3-540-68233-2, ISSN-0302-9743, pp. 792-796, June 2008. demo paper.