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Recently, huge amounts of data are generated in the domain of biology. Embedded with domain knowledge from different disciplines, the isolated biological resources are implicitly connected. Thus it has shaped a big network of versatile biological knowledge. Faced with such massive, disparate, and interlinked biological data, providing an efficient way to model, integrate, and analyze the big biological network becomes a challenge. In this paper, we present a general OWL (web ontology language)doi:10.1155/2014/272915 pmid:24877076 pmcid:PMC4022201 fatcat:qoa7rzhjevhyfc7trpmwi6424u