Evolution-based Refinement of Cross-language Ontology Alignments
Resumo
Ontology alignment plays a key role for information interconnectivity between computational systems relying on ontologies described in different natural languages. Existing approaches for ontology matching usually provide equivalent type of relation in the generated mappings. In this article, we propose a refinement technique to enable the update of the semantic type of the mapping such as “is-a”, “part-of”, etc. Our approach relies on information from the ontology evolution to apply refinement actions. We formalize the refinement actions and procedures, as well as apply the proposal in application scenarios.
Palavras-chave:
Ontology Alignment, information interconnectivity, ontology evolution, refinement actions, semantic relations
Referências
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Arnold, P. and Rahm, E. (2014). Enriching ontology mappings with semantic relations. Data & Knowledge Engineering, 93:1–18. DOI: https://doi.org/10.1016/j.datak.2014.07.001.
Dinh, D., Dos Reis, J. C., Pruski, C., Da Silveira, M., and Reynaud-Delaˆıtre, C. (2014). Identifying relevant concept attributes to support mapping maintenance under ontology evolution. Journal of Web semantics, 29:53–66. DOI: https://doi.org/10.1016/j.websem.2014.05.002.
Dos Reis, J. C., Pruski, C., Da Silveira, M., and Reynaud-Delaˆıtre, C. (2014). Understanding semantic mapping evolution by observing changes in biomedical ontologies. Journal of biomedical informatics, 47:71–82. DOI: https://doi.org/10.1016/j.jbi.2013.09.006.
Euzenat, J. and Shvaiko, P. (2013). Ontology matching, pages 42,71–84,306. Springer, Heidelberg, 2nd edition. DOI: https://doi.org/10.1007/978-3-642-38721-0.
Gross, A., Hartung, M., Thor, A., and Rahm, E. (2012). How do computed ontology mappings evolve?-a case study for life science ontologies. In Proceedings of the 2nd Joint Workshop on Knowledge Evolution and Ontology Dynamics, volume 890.
Gruber, T. R. (1995). Toward principles for the design of ontologies used for knowledge sharing. International Journal of Human-Computer Studies, 43:907 – 928. DOI: https://doi.org/10.1006/ijhc.1995.1081.
Hamdi, F., Safar, B., Niraula, N. B., and Reynaud, C. (2010). Taxomap alignment and refinement modules: Results for oaei 2010. In Proceedings of the 5th International Workshop on Ontology Matching (OM-2010), volume 689, pages 212–219.
Hartung, M., Gross, A., and Rahm, E. (2013). COnto-Diff: Generation of Complex Evolution Mappings for Life Science Ontologies. Journal of Biomedical Informatics, 46:15–32. DOI: https://doi.org/10.1016/j.jbi.2012.04.009.
Noy, N. F., Musen, M. A., et al. (2002). Promptdiff: A fixed-point algorithm for comparing ontology versions. AAAI/IAAI, 2002:744–750.
Raunich, S. and Rahm, E. (2011). Atom: Automatic target-driven ontology merging. In Data Engineering (ICDE), 2011 IEEE 27th International Conference on, pages 1276–1279. IEEE. DOI: https://doi.org/10.1109/ICDE.2011.5767871.
Sabou, M., d’Aquin, M., and Motta, E. (2008). Exploring the semantic web as background knowledge for ontology matching. Journal on data semantics XI, pages 156–190. DOI: https://doi.org/10.1007/978-3-540-92148-6_6.
Spiliopoulos, V., Valarakos, A., and Vouros, G. (2008). Csr: discovering subsumption relations for the alignment of ontologies. The Semantic Web: Research and Applications, pages 418–431. DOI: https://doi.org/10.1007/978-3-540-68234-9_32.
Stoutenburg, S. K. (2008). Acquiring advanced properties in ontology mapping. In Proceedings of the 2nd PhD Workshop on Information and Knowledge Management (PIKM 2008), pages 9–16. ACM. DOI: https://doi.org/10.1145/1458550.1458553.
Trojahn, C., Fu, B., Zamazal, O., and Ritze, D. (2014). State-of-the-art in multilingual and cross-lingual ontology matching. In Towards the Multilingual SemanticWeb, pages 119–135. Springer. DOI: https://doi.org/10.1007/978-3-662-43585-4_8.
Zhang, S. and Bodenreider, O. (2007). Experience in aligning anatomical ontologies. International journal on Semantic Web and information systems, 3(2):1. DOI: https://doi.org/10.4018/jswis.2007040101.
Arnold, P. and Rahm, E. (2014). Enriching ontology mappings with semantic relations. Data & Knowledge Engineering, 93:1–18. DOI: https://doi.org/10.1016/j.datak.2014.07.001.
Dinh, D., Dos Reis, J. C., Pruski, C., Da Silveira, M., and Reynaud-Delaˆıtre, C. (2014). Identifying relevant concept attributes to support mapping maintenance under ontology evolution. Journal of Web semantics, 29:53–66. DOI: https://doi.org/10.1016/j.websem.2014.05.002.
Dos Reis, J. C., Pruski, C., Da Silveira, M., and Reynaud-Delaˆıtre, C. (2014). Understanding semantic mapping evolution by observing changes in biomedical ontologies. Journal of biomedical informatics, 47:71–82. DOI: https://doi.org/10.1016/j.jbi.2013.09.006.
Euzenat, J. and Shvaiko, P. (2013). Ontology matching, pages 42,71–84,306. Springer, Heidelberg, 2nd edition. DOI: https://doi.org/10.1007/978-3-642-38721-0.
Gross, A., Hartung, M., Thor, A., and Rahm, E. (2012). How do computed ontology mappings evolve?-a case study for life science ontologies. In Proceedings of the 2nd Joint Workshop on Knowledge Evolution and Ontology Dynamics, volume 890.
Gruber, T. R. (1995). Toward principles for the design of ontologies used for knowledge sharing. International Journal of Human-Computer Studies, 43:907 – 928. DOI: https://doi.org/10.1006/ijhc.1995.1081.
Hamdi, F., Safar, B., Niraula, N. B., and Reynaud, C. (2010). Taxomap alignment and refinement modules: Results for oaei 2010. In Proceedings of the 5th International Workshop on Ontology Matching (OM-2010), volume 689, pages 212–219.
Hartung, M., Gross, A., and Rahm, E. (2013). COnto-Diff: Generation of Complex Evolution Mappings for Life Science Ontologies. Journal of Biomedical Informatics, 46:15–32. DOI: https://doi.org/10.1016/j.jbi.2012.04.009.
Noy, N. F., Musen, M. A., et al. (2002). Promptdiff: A fixed-point algorithm for comparing ontology versions. AAAI/IAAI, 2002:744–750.
Raunich, S. and Rahm, E. (2011). Atom: Automatic target-driven ontology merging. In Data Engineering (ICDE), 2011 IEEE 27th International Conference on, pages 1276–1279. IEEE. DOI: https://doi.org/10.1109/ICDE.2011.5767871.
Sabou, M., d’Aquin, M., and Motta, E. (2008). Exploring the semantic web as background knowledge for ontology matching. Journal on data semantics XI, pages 156–190. DOI: https://doi.org/10.1007/978-3-540-92148-6_6.
Spiliopoulos, V., Valarakos, A., and Vouros, G. (2008). Csr: discovering subsumption relations for the alignment of ontologies. The Semantic Web: Research and Applications, pages 418–431. DOI: https://doi.org/10.1007/978-3-540-68234-9_32.
Stoutenburg, S. K. (2008). Acquiring advanced properties in ontology mapping. In Proceedings of the 2nd PhD Workshop on Information and Knowledge Management (PIKM 2008), pages 9–16. ACM. DOI: https://doi.org/10.1145/1458550.1458553.
Trojahn, C., Fu, B., Zamazal, O., and Ritze, D. (2014). State-of-the-art in multilingual and cross-lingual ontology matching. In Towards the Multilingual SemanticWeb, pages 119–135. Springer. DOI: https://doi.org/10.1007/978-3-662-43585-4_8.
Zhang, S. and Bodenreider, O. (2007). Experience in aligning anatomical ontologies. International journal on Semantic Web and information systems, 3(2):1. DOI: https://doi.org/10.4018/jswis.2007040101.
Publicado
07/10/2019
Como Citar
DESTRO, Juliana Medeiros; DOS REIS, Julio César; TORRES, Ricardo da S.; RICARTE, Ivan.
Evolution-based Refinement of Cross-language Ontology Alignments. In: SIMPÓSIO BRASILEIRO DE BANCO DE DADOS (SBBD), 34. , 2019, Fortaleza.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2019
.
p. 61-72.
ISSN 2763-8979.
DOI: https://doi.org/10.5753/sbbd.2019.8808.
