DisMatch is an experimental ontology matching system based on the use of corpus based distributional measure for approximating semantic relatedness. Through the use of a domain-related corpus, the measure can be applied to a problem focused on the domain of the corpus, 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.