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Information retrieval and knowledge discovery on the semantic web of traditional chinese medicine

Published: 21 April 2008 Publication History

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.

Reference

[1]
H. J. Chen, Y. M. Wang, H. Wang, Y. X. Mao, J. M. Tang, C. Y. Zhou, A. N. Yin, and Z. H. Wu. Towards a semantic web of relational databases: A practical semantic toolkit and an in-use case from traditional chinese medicine. In ISWC 2006: Proceedings of the 5th International Semantic Web Conference, pages 750--763, Berlin / Heidelberg, 2006. Springer.

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cover image ACM Conferences
WWW '08: Proceedings of the 17th international conference on World Wide Web
April 2008
1326 pages
ISBN:9781605580852
DOI:10.1145/1367497
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 21 April 2008

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  1. information retrieval
  2. knowledge discovery
  3. semantic web

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