Building e-Science Applications for Traditional Chinese Medicine
Author Information
Author(s): Chen Huajun, Mao Yuxin, Zheng Xiaoqing, Cui Meng, Feng Yi, Deng Shuiguang, Yin Aining, Zhou Chunying, Tang Jinming, Jiang Xiaohong, Wu Zhaohui
Primary Institution: Zhejiang University
Hypothesis
Can semantic and knowledge-based techniques improve e-Science applications for Traditional Chinese Medicine?
Conclusion
The study demonstrates that semantic and knowledge-based techniques can effectively support collaborative research in Traditional Chinese Medicine.
Supporting Evidence
- The study presents a comprehensive approach to build dynamic e-Science applications for Traditional Chinese Medicine.
- Semantic techniques were used to integrate heterogeneous databases and services.
- The developed toolkits facilitate information sharing and collaborative research among TCM scientists.
Takeaway
This study shows how we can use smart technology to help doctors and researchers share and find information about Traditional Chinese Medicine more easily.
Methodology
The study developed a semantic e-Science infrastructure that integrates databases and services for Traditional Chinese Medicine using ontologies.
Limitations
The approach primarily focuses on structured information, which may limit the integration of unstructured data.
Digital Object Identifier (DOI)
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