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Influence of semantic similarity measures on ontology cross-language mappings

Published:03 April 2017Publication History

ABSTRACT

Cross-language mappings establish relations between ontology concepts defined in different languages. Similarity measures calculate the degree of relatedness between concepts to support matching between two distinct ontologies. Cross-language matching remains an open research issue due to the difficulties in taking advantage of similarity computation. This article investigates the effects of different semantic similarity measures on the identification of cross-language mappings. We carry out experiments exploring real-world biomedical ontology mappings to comprehend the behaviour of computed similarity values. The obtained results indicate the relevance of the domain-related background knowledge in the effectiveness of semantic measures for ontology cross-language alignment.

References

  1. Z. Aleksovski, M. Klein, W. ten Kate, and F. van Harmelen. Matching unstructured vocabularies using a background ontology. In Proceedings of the 15th International Conference on Managing Knowledge in a World of Networks, EKAW'06, pages 182--197, Berlin, Heidelberg, 2006. Springer-Verlag. Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. T. Charen. The etymology of medicine. Bulletin of the Medical Library Association, 39:216--221, 1951.Google ScholarGoogle Scholar
  3. B. Fu, R. Brennan, and D. O 'sullivan. Cross-lingual ontology mapping - an investigation of the impact of machine translation. In The Semantic Web, ASWC. Springer, 2009. Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. V. N. Garla and C. Brandt. Semantic similarity in the biomedical domain: an evaluation across knowledge sources. BMC Bioinformatics, 13(1):1--13, 2012. Google ScholarGoogle ScholarCross RefCross Ref
  5. F. Hamdi, B. Safar, C. Reynaud, and N. Niraula. TaxoMap alignment and refinement modules: Results for OAEI 2010. In The Fifth International Workshop on Ontology Matching, pages 212--219, 2010. Google ScholarGoogle ScholarDigital LibraryDigital Library
  6. M. T. P. José Camacho-Collados and R. Navigli. a novel approach to a semantically-aware representation of items. In North American Chapter of the Association of Computational Linguistics (NAACL 2015), pages 567--577, Denver,USA, 2015.Google ScholarGoogle Scholar
  7. J. Jung, A. Håkansson, and R. Hartung. Indirect alignment between multilingual ontologies: A case study of korean and swedish ontologies. In Agent and Multi-Agent Systems: Technologies and Applications, volume 5559. Springer, 2009. Google ScholarGoogle ScholarDigital LibraryDigital Library
  8. B. T. McInnes, T. Pedersen, and S. V. Pakhomov. Umls-interface and umls-similarity: open source software for measuring paths and semantic similarity. In AMIA Annual Symposium, page 431, 2009.Google ScholarGoogle Scholar
  9. C. Meilicke, C. Trojahn, O. Šváb-Zamazal, and D. Ritze. Multilingual ontology matching evaluation-a first report on using multifarm. In The Semantic Web: ESWC 2012 Satellite Events, pages 132--147. Springer Berlin Heidelberg, 2012.Google ScholarGoogle Scholar
  10. S. Mohammad, I. Gurevych, G. Hirst, and T. Zesch. Cross-lingual distributional profiles of concepts for measuring semantic distance. In Proceedings of the Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning, pages 571--580, 2007.Google ScholarGoogle Scholar
  11. R. Navigli and S. P. Ponzetto. BabelNet: The automatic construction, evaluation and application of a wide-coverage multilingual semantic network. Artificial Intelligence, 193:217--250, 2012. Google ScholarGoogle ScholarDigital LibraryDigital Library
  12. S. Patwardhan and T. Pedersen. Using wordnet-based context vectors to estimate the semantic relatedness of concepts. In Proceedings of the EA CL 2006 Workshop Making Sense of Sense - Bringing Computational Linguistics and Psycholinguistics Together, volume 1501, pages 1--8, Trento, Italy, April 2006.Google ScholarGoogle Scholar
  13. C. Pesquita, D. Faria, A. O. Falcão, P. Lord, and F. M. Couto. Semantic similarity in biomedical ontologies. PLoS Computational Biology, 5(7):1--12, 07 2009.Google ScholarGoogle ScholarCross RefCross Ref
  14. M. Sabou, M. d'Aquin, and E. Motta. Exploring the semantic web as background knowledge for ontology matching. Journal on data semantics XI, pages 156--190, 2008. Google ScholarGoogle ScholarDigital LibraryDigital Library
  15. P. Shvaiko and J. Euzenat. Ontology matching: State of the art and future challenges. Knowledge and Data Engineering, IEEE Transactions on, 25(1):158--176, Jan 2013. Google ScholarGoogle ScholarDigital LibraryDigital Library
  16. D. Spohr, L. Hollink, and P. Cimiano. A machine learning approach to multilingual and cross-lingual ontology matching. In The Semantic Web-ISWC 2011. Springer. Google ScholarGoogle ScholarDigital LibraryDigital Library
  17. S. K. Stoutenburg. Acquiring advanced properties in ontology mapping. In Proceedings of the 2nd PhD workshop on Information and knowledge management, pages 9--16. ACM, 2008. Google ScholarGoogle ScholarDigital LibraryDigital Library
  18. C. Trojahn, B. Fu, O. Zamazal, and D. Ritze. Towards the Multilingual Semantic Web: Principles, Methods and Applications, chapter State-of-the-Art in Multilingual and Cross-Lingual Ontology Matching. Springer, 2014.Google ScholarGoogle Scholar
  19. S. Zhang and O. Bodenreider. Experience in aligning anatomical ontologies. International journal on Semantic Web and information systems, 3(2):1, 2007. Google ScholarGoogle ScholarCross RefCross Ref

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      cover image ACM Conferences
      SAC '17: Proceedings of the Symposium on Applied Computing
      April 2017
      2004 pages
      ISBN:9781450344869
      DOI:10.1145/3019612

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      Publication History

      • Published: 3 April 2017

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