Ponencia
DisMatch results for OAEI 2016
Autor/es | Rybinski, Maciej
Roldán García, María del Mar García Nieto, José Manuel Aldana Montes, José F. |
Departamento | Universidad de Sevilla. Departamento de Ciencias de la Computación e Inteligencia Artificial |
Fecha de publicación | 2016 |
Fecha de depósito | 2021-05-06 |
Publicado en |
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ISBN/ISSN | 1613-0073 |
Resumen | DisMatch is an experimental ontology matching system based
on the use of corpus based distributional measure for approximating se-
mantic relatedness. Through the use of a domain-related corpus, the
measure can be applied ... DisMatch is an experimental ontology matching system based on the use of corpus based distributional measure for approximating se- mantic relatedness. Through the use of a domain-related corpus, the measure can be applied to a problem focused on the domain of the cor- pus, here being the Disease and Phenotype track. In this paper, we aim to briefly present the proposed approach and the results obtained in the evaluation, as well as some early conclusions regarding the performance of DisMatch. |
Agencias financiadoras | Ministerio de Educación y Ciencia (MEC). España Junta de Andalucía |
Identificador del proyecto | TIN2014-58304-R
P11-TIC-7529 P12-TIC-1519 |
Cita | Rybinski, M., Roldán García, M.d.M., García Nieto, J.M. y Aldana Montes, J.F. (2016). DisMatch results for OAEI 2016. En OM 2016: 11th International Workshop on Ontology Matching co-located with the 15th International Semantic Web Conference (ISWC 2016) (161-165), Kobe, Japan: CEUR-WS.Org. |
Ficheros | Tamaño | Formato | Ver | Descripción |
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oaei16_paper5.pdf | 78.27Kb | [PDF] | Ver/ | |