Poster

Track: Posters

Paper Title:
Information Retrieval and Knowledge Discovery on the Semantic Web of Traditional Chinese Medicine

Authors:

• Zhaohui Wu(Zhejiang University)
• Tong Yu(Zhejiang University)
• Huajun Chen(Zhejiang University)
• Xiaohong Jiang(Zhejiang University)
• Yi Feng(Zhejiang University)
• Yuxin Mao(Zhejiang University)
• Heng Wang(Zhejiang University)
• Jingming Tang(Zhejiang University)
• Chunying Zhou(Zhejiang University)

Abstract:
We conduct the first systematical adoption of the Semantic Web solution in the integration, management, and utilization of TCM information and knowledge resources. As the results, the largest TCM Semantic Web ontology is engineered as the uniform knowledge representation mechanism; the ontology-based query and search engine is deployed, mapping legacy and heterogeneous relational databases to the Semantic Web layer for query and search across database boundaries; the first global herb-drug interaction network is mapped through semantic integration, and the semantic graph mining methodology is implemented for discovering and interpreting interesting patterns from this network. The platform and underlying methodology are proved effective in TCM-related drug usage, discovery, and safety analysis.

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