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Front. Inform. Technol. Electron. Eng.  2012, Vol. 13 Issue (4): 311-314    DOI: 10.1631/jzus.C1101012
    
National semantic infrastructure for traditional Chinese medicine
Hua-jun Chen
School of Computer Science and Technology, Zhejiang University, Hangzhou 310027, China
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Abstract  We use a domain ontology to construct a Semantic Web environment to unify and link the legacy databases, which typically have heterogeneous logic structures and physical properties. Users need only to interact with the Semantic Web environment, and perform searching, querying, and navigating around an extensible set of databases without the awareness of the database boundaries. Additional deductive capabilities can then be implemented to increase the usability and re-usability of data.
In the DartGrid project, we focus on three major TCM requirements, including academic virtual organization, personalized healthcare, and drug discovery and safety. Here we present a brief overview of the major applications that we have developed to satisfy the above requirements.


Published: 07 April 2012
Cite this article:

Hua-jun Chen. National semantic infrastructure for traditional Chinese medicine. Front. Inform. Technol. Electron. Eng., 2012, 13(4): 311-314.

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http://www.zjujournals.com/xueshu/fitee/10.1631/jzus.C1101012     OR     http://www.zjujournals.com/xueshu/fitee/Y2012/V13/I4/311


National semantic infrastructure for traditional Chinese medicine

We use a domain ontology to construct a Semantic Web environment to unify and link the legacy databases, which typically have heterogeneous logic structures and physical properties. Users need only to interact with the Semantic Web environment, and perform searching, querying, and navigating around an extensible set of databases without the awareness of the database boundaries. Additional deductive capabilities can then be implemented to increase the usability and re-usability of data.
In the DartGrid project, we focus on three major TCM requirements, including academic virtual organization, personalized healthcare, and drug discovery and safety. Here we present a brief overview of the major applications that we have developed to satisfy the above requirements.
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