]> 2012-02-11T02:28:23-05:00 Semantic web for integrated network analysis in biomedicine The Semantic Web technology enables integration of heterogeneous data on the World Wide Web by making the semantics of data explicit through formal ontologies. In this article, we survey the feasibility and state of the art of utilizing the Semantic Web technology to represent, integrate and analyze the knowledge in various biomedical networks. We introduce a new conceptual framework, semantic graph mining, to enable researchers to integrate graph mining with ontology reasoning in network data analysis. Through four case studies, we demonstrate how semantic graph mining can be applied to the analysis of disease-causal genes, Gene Ontology category cross-talks, drug efficacy analysis and herb-drug interactions analysis. article chen2009semantic 2 177-192 Semantic Web for Integrated Network Analysis in Biomedicine TW-2009-07 2009 Year 10 Volume Tr id Title Computer science Tag Paper url Pages Number Key Briefings in Bioinformatics Advance Journal Bibtype Jake Y. Chen Lavanya Dhanapalan Tong Yu Zhaohui Wu Li Ding Huajun Chen Author Abstract TW Technical Report Publication Journal Paper