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Enriching ontologies with multilingual information

Published online by Cambridge University Press:  09 June 2010

E. MONTIEL-PONSODA
Affiliation:
Ontology Engineering Group, Facultad de Informática, Universidad Politécnica de Madrid, Campus de Montegancedo s/n, 28660 Boadilla del Monte, Madrid, Spain e-mails: emontiel@fi.upm.es, lupe@fi.upm.es, asun@fi.upm.es
G. AGUADO DE CEA
Affiliation:
Ontology Engineering Group, Facultad de Informática, Universidad Politécnica de Madrid, Campus de Montegancedo s/n, 28660 Boadilla del Monte, Madrid, Spain e-mails: emontiel@fi.upm.es, lupe@fi.upm.es, asun@fi.upm.es
A. GÓMEZ-PÉREZ
Affiliation:
Ontology Engineering Group, Facultad de Informática, Universidad Politécnica de Madrid, Campus de Montegancedo s/n, 28660 Boadilla del Monte, Madrid, Spain e-mails: emontiel@fi.upm.es, lupe@fi.upm.es, asun@fi.upm.es
W. PETERS
Affiliation:
Sheffield Natural Language Processing Group, University of Sheffield, Regent Court, 211 Portobello, Sheffield, S1 4DP, UK e-mail: w.peters@dcs.shef.ac.uk

Abstract

This paper presents a novel approach to ontology localization with the objective of obtaining multilingual ontologies. Within the ontology development process, ontology localization has been defined as the activity of adapting an ontology to a concrete linguistic and cultural community. Depending on the ontology layers – terminological and/or conceptual – involved in the ontology localization activity, three heterogeneous multilingual ontology metamodels have been identified, of which we propose one of them. Our proposal consists in associating the ontology metamodel to an external model for representing and structuring lexical and terminological data in different natural languages. Our model has been called Linguistic Information Repository (LIR). The main advantages of this modelling modality rely on its flexibility by allowing (1) the enrichment of any ontology element with as much linguistic information as needed by the final application, and (2) the establishment of links among linguistic elements within and across different natural languages. The LIR model has been designed as an ontology of linguistic elements and is currently available in Web Ontology Language (OWL). The set of lexical and terminological data that it provides to ontology elements enables the localization of any ontology to a certain linguistic and cultural universe. The LIR has been evaluated against the multilingual requirements of the Food and Agriculture Organization of the United Nations in the framework of the NeOn project. It has proven to solve multilingual representation problems related to the establishment of well-defined relations among lexicalizations within and across languages, as well as conceptualization mismatches among different languages. Finally, we present an extension to the Ontology Metadata Vocabulary, the so-called LexOMV, with the aim of reporting on multilinguality at the ontology metadata level. By adding this contribution to the LIR model, we account for multilinguality at the three levels of an ontology: data level, knowledge representation level and metadata level.

Type
Articles
Copyright
Copyright © Cambridge University Press 2010

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References

Barrasa, J. 2007. Modelo para la definición automática de correspondencias semánticas entre ontologías y modelos relacionales. PhD Thesis, Madrid, Spain: Universidad Politécnica de Madrid.Google Scholar
Buitelaar, P., Cimiano, P., Haase, P., and Sintek, M. 2009. Towards linguistically grounded ontologies. In Aroyo, L., Traverso, P., Ciravegna, F., Cimiano, P., Heath, T., Hyvnen, E., Mizoguchi, R., Oren, E., Sabou, M., and Simperl, E. (eds.), The Semantic Web: Research and Applications, 6th European Semantic Web Conference, ESWC 2009, pp. 111125. Heraklion, Greece: Springer Verlag.CrossRefGoogle Scholar
Buitelaar, P., Sintek, M., and Kiesel, M. 2006. A multilingual/multimedia lexicon model for ontologies. In Sure, Y. and Domingue, J. (eds.), The Semantic Web: Research and Applications, 3rd European Semantic Web Conference, ESWC 2006, pp. 502513. Budva, Montenegro: Springer Verlag.CrossRefGoogle Scholar
Cabré, M. T., Bach, C., Estopà, R., Feliu, J., Martínez, G., and Vivaldi, J. 2004. The GENOMA-KB project: towards the integration of concepts, terms, textual corpora and entities. In Proceedings of 4th International Conference on Languages Resources and Evaluation, LREC 2004, pp. 8790. Lisboa, Portugal: ELRA/ELDA.Google Scholar
Cimiano, P., Hasse, P., Herold, M., Mantel, M., and Buitelaar, P. 2007. LexOnto: a model for ontology lexicons for ontology-based NLP. In Proceedings of OntoLex 2007, co-located at the 6th International Semantic Web Conference ISWC+ASWC 2007, Busan, South Korea.Google Scholar
Edmonds, P., and Hirst, G. 2002. Near-synonymy and lexical choice. Computational Linguistics 28 (2): 105144.CrossRefGoogle Scholar
Espinoza, M., Gómez-Pérez, A., and Mena, E. 2008. Enriching an ontology with multilingual information. In Bechhofer, S., Hauswirth, M., Hoffmann, J., and Koubarakis, M. (eds.), The Semantic Web: Research and Applications, 5th European Semantic Web Conference, ESWC 2008, pp. 333347. Tenerife, Spain: Springer Verlag.CrossRefGoogle Scholar
Euzenat, J., Ferrara, A., Hollink, L., Isaac, A., Joslyn, C., Malaisé, V., Meilicke, C., Nikolov, A., Pane, J., Sabou, M., Scharffe, F., Shvaiko, P., Spiliopoulos, V., Stuckenschmidt, H., Šváb-Zamazal, O., Svátek, V., Trojahn, C., Vouros, G., and Wang, S. 2009. Results of the ontology alignment evaluation initiative' 09. ISWC workshop on Ontology Matching (OM 2009). Available at http://oaei.ontologymatching.org/2009/results/oaei2009.pdfGoogle Scholar
Fellbaum, C. (ed.) 1998. Wordnet. An Electronic Lexical Database. Cambridge: MIT Press.CrossRefGoogle Scholar
Francopoulo, G., Monte, G., Calzolari, N., Monachini, M., Bel, N., Pet, M., and Soria, C. 2006. LMF for multilingual, specialized lexicons. In Proceedings of 5th International Conference on Languages Resources and Evaluation, LREC 2006, pp. 2732, Genova, Italy.Google Scholar
Hartmann, J., Palma, R., and Paslaru Bontas, E. 2006. OMV-Ontology Metadata Vocabulary for the Semantic Web. OMV Report v.2.0. Available at http://ontoware.org/frs/download.php/336/OMV-ReportV2.1.pdfGoogle Scholar
Hirst, G. 2004. Ontology and the lexicon. In Staab, S. and Studer, R. (eds.), Handbook on Ontologies and Information Systems, pp. 121. Berlin: Springer Verlag.Google Scholar
Lenci, A., Bel, N., Busa, F., Calzolari, N., Gola, E., Monachini, M., Ogonowski, A., Peters, I., Peters, W., Ruimy, N., Villegas, M., and Zampolli, A. 2000. SIMPLE: a general framework for the development of multilingual lexicons. International Journal of Lexicography 3: 249263.Google Scholar
Liang, A. C., Lauser, B., Sini, M., Keizer, J., and Katz, S. 2008. From AGROVOC to the Agricultural Ontology Service/Concep Server. An OWL model for managing ontologies in the agricultural domain. In Proceedings of the OWL: Experiences and Directions Workshop, Manchester, UK. Available at ftp://ftp.fao.org/docrep/fao/009/ah801e/ah801e00.pdfGoogle Scholar
Montiel-Ponsoda, E., Aguado de Cea, G., Gómez-Pérez, A., and Peters, W. 2008. Modelling multilinguality in ontologies. In Proceedings of the 22nd International Conference on Computational Linguistics, Coling 2008, Companion volume – Posters and Demonstrations, pp. 6770, Manchester, UK.Google Scholar
Montiel-Ponsoda, E., Aguado de Cea, G., Suárez-Figueroa, M. C.Palma, R., and Peters, W. 2007. LexOMV: an OMV extension to capture multilinguality. In Proceedings of OntoLex 2007, co-located at the 6th International Semantic Web Conference ISWC+ASWC 2007, Busan, South Korea.Google Scholar
Montiel-Ponsoda, E., and Peters, W. (coordinators) 2008. Multilingual and localization support for ontologies. Technical report, NeOn Project Deliverable 2.4.2. Available at http://www.neon-project.org/web-content/images/Publications/neon_2008_d242.pdfGoogle Scholar
Morris, C. W. 1938. Foundations of the theory of signs. In International Encyclopedia of Unified Science 1(2), Chicago: The University of Chicago Press.Google Scholar
Ogden, C. K., and Richards, I. A. 1923. The Meaning of Meaning: A Study of the Influence of Language upon Thought and of the Science of Symbolism. London: Routledge & Kegan Paul.Google Scholar
Peters, W., Espinoza, M., Montiel-Ponsoda, E., and Sini, M. 2009. Multilingual and localization support for ontologies 3. Technical report, NeOn Project Deliverable 2.4.3. Available at http://www.neon-project.org/web-content/images/Publications/neon_2009_d243.pdfGoogle Scholar
Peters, W., Gangemi, A., and Villazón-Terrazas, B. 2010. Modelling and re-engineering linguistic/terminological resources. Technical report, D2.4.4 NeOn Project Deliverable. Available at http://www.neon-project.org/web-content/images/Publications/neon_2009_d244.pdfGoogle Scholar
Peters, W., Montiel-Ponsoda, E., and Aguado de Cea, G. 2007. Localizing ontologies in OWL. In Proceedings of OntoLex 2007, co-located at the 6th International Semantic Web Conference ISWC+ASWC 2007, Busan, South Korea.Google Scholar
Pustejovsky, J. 1995. The Generative Lexicon. MIT Press: Cambridge, MA.Google Scholar
Suárez-Figueroa, M. C., and Gómez-Pérez, A. 2008. A first attempt towards a standard glossary of ontology engineering terminology. In Proceedings of the 8th International Conference on Terminology and Knowledge Engineering TKE 2008, pp. 116, Copenhagen, Denmark.Google Scholar
Vossen, P. 2002. EuroWordNet. General document. Version 3, final. Available at http://www.vossen.info/docs/2002/EWNGeneral.pdfGoogle Scholar
Vossen, P. 2004. EuroWordNet: a multilingual database of autonomous and language-specific wordnets connected via an Inter-Lingual-Index. Semi-special issue on multilingual databases, IJL 17 (2): 161173.Google Scholar