Semantic Based TCM Data Acquisition Ngineering And Application Platform

With a more than 2000 years research and application, data of Chinese traditional medicine has come to a huge number. The structure of TCM data in information system has a vital role with the puropse of data analysis, handling, use. Cooperated with china academy of Chinese medical science over decade, CCNT laboratory has done a great contribution to information of Chinese traditional medicine, and has established a set of TCM semantic ontology several TCM information system also has been established in the last decade。However, there are many place which need to be improved, such as many separated TCM information system, bad interconnection, pool maintenance, low auto-collection and so on.In order to solve these problems, improving TCM data collection efficiency and reduce the cost, this paper puts forward a method based on the semantic configuration metadata and the storage medium, and based on this, integrate different data model into a unified platform for data management. According to this method, we designed and developed Chinese traditional medicine co-construction platform, which used to manage data of different model.The platform by using semantic ontology to describe the data model of TCM, realize highly configurability of data acquisition, solve the problem that TCM data model is various. Additional, the platform support semi-automatic literature processing based on semantic relation annotation. The platform is a insists on providing practical application of semantic grid system. At present it has been put into practical, and achieved good effect.This paper also puts forward a semantic relationship graph annotation method, to facilitate data acquisition based on semantic ontology knowledge base, this method extract keywords, calculate high-frequency keywords, and identify and predict semantic relation between keywords to realize the semi-automatic data acquisition.