An ontology for the integration of multiple genetic disorder data sources.
As a huge amount of gene disorder information is available on the Internet, there is an increasing requirement to integrate these data sources. The integration of gene disorder data sources provides an important tool in the research of life science, therapeutics, and genetic disease prevention and inhibition. The key challenge of such integration is how to deal with semantic heterogeneity of multiple information resources. The paper proposes an ontology-based approach to describe and extract the semantics of genetic disorder terminologies and provides a mechanism for sharing and reusing genetic disorder knowledge. According to this unified meta model, heterogeneous gene disorder data sources can be integrated, and a semantic middleware has the ability to do reasoning on the knowledge base of gene disorder for users and applications' various queries.
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Biomedical and Multimedia Information Technology (BMIT) Research Group, School of Information Technologies, the University of Sydney, NSW 2006, Australia.
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