Knowledge Discovery from Biomedical Ontologies in Cross Domains.

ABSTRACT: In recent years, there is an increasing demand for sharing and integration of medical data in biomedical research. In order to improve a health care system, it is required to support the integration of data by facilitating semantic interoperability systems and practices. Semantic interoperability is difficult to achieve in these systems as the conceptual models underlying datasets are not fully exploited. In this paper, we propose a semantic framework, called Medical Knowledge Discovery and Data Mining (MedKDD), that aims to build a topic hierarchy and serve the semantic interoperability between different ontologies. For the purpose, we fully focus on the discovery of semantic patterns about the association of relations in the heterogeneous information network representing different types

SUBMITTER: Shen F 

PROVIDER: S-EPMC4993478 | biostudies-literature | 2016

REPOSITORIES: biostudies-literature