Exploration of TCM Masters Knowledge Mining

Authors:
Xijin Tang;Nan Zhang;Zheng Wang
Affiliations:
Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing 100080, P.R.China;Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing 100080, P.R.China;Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing 100080, P.R.China
Venue:
ICCS '07 Proceedings of the 7th international conference on Computational Science, Part IV: ICCS 2007
Year:
2007

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Abstract

With a very long history, traditional Chinese medicine (TCM) has a rich knowledge about human health and disease by its special way. To avoid losing lots of precious knowledge of TCM masters, endeavors have been engaged to keep down those knowledge of TCM masters, such as their growth experiences, effective practical cases toward sickness and typical treating methods and principles. In this paper, some computerized methods are applied toward those collected materials about some alive TCM masters in China mainland to show a different way of exposing essential ideas of those TCM masters which aims to help people understand the correspondence of TCM views toward disease and body, and facilitate tacit knowledge transfer. This work is one kind of qualitative meta-synthesis of TCM masters' knowledge.