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DisMatch results for OAEI 2016

Authors :
Rybinski, Maciej
Roldán García, María del Mar
García Nieto, José Manuel
Aldana Montes, José F.
Universidad de Sevilla. Departamento de Ciencias de la Computación e Inteligencia Artificial
Ministerio de Educación y Ciencia (MEC). España
Junta de Andalucía
Source :
idUS. Depósito de Investigación de la Universidad de Sevilla, instname, idUS: Depósito de Investigación de la Universidad de Sevilla, Universidad de Sevilla (US)
Publication Year :
2016
Publisher :
CEUR-WS.Org, 2016.

Abstract

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. Ministerio de Educación y Ciencia TIN2014-58304-R Junta de Andalucía P11-TIC-7529 Junta de Andalucía P12-TIC-1519

Details

Database :
OpenAIRE
Journal :
idUS. Depósito de Investigación de la Universidad de Sevilla, instname, idUS: Depósito de Investigación de la Universidad de Sevilla, Universidad de Sevilla (US)
Accession number :
edsair.dedup.wf.001..35edb8ebbd96171ad1883802a5da3233