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In today’s knowledge economy, knowledge has become an important resource for social development, how to effectively manage knowledge has become an important research direction of contemporary. Up to now, China has nearly a hundred different sizes to complete the construction of Chinese medicine database and put into use, the initial realization of digitized medical information, but the data retrieval can only achieve coarse-grained sharing, resulting in information retrieval inefficient, not well knowledge to achieve accurate positioning. Medical literature is the main carrier of medical knowledge, how to make good use of the medical literature is the key of the development. Many of the medical literature, but the depth of its content is uneven, literature data and the lack of a systematic analysis of integration, resulting in the application value of relatively large slash. At present, the drug development field like any other field of life sciences is typical knowledge-intensive areas. Involves field more wide, the regional distribution of participants, need more new information and new knowledge, large amount of investment in R&D and so on, so as to develop for a long time.This paper introduces knowledge map into the medical information service and management system, by using the method of constructing knowledge map to knowledge of medical literature database of medical information resources in the sorting, deep analysis, the weight of annotations. It uses a certain technical means the connection between the knowledge structure, make the knowledge map of knowledge navigation spread to the stock of knowledge, knowledge flows, knowledge distribution and other details, further accelerate the circulation and utilization of medical literature information resources, avoid information resources idle.Unstructured text of the medicine in China, in this paper, first of all for medical text preprocessing, mainly including the document representation of stay, Chinese word segmentation, word processing and calculation of the weights of key. Get medical text paper.in weighting method, and then use classifying medical text classification algorithm, the use of knowledge map building technical the close degree between the text, so as to reveal the internal logic relationship between medical texts, and promote the spread, circulation and use of medical knowledge.Knowledge map building technologies used in this paper, the medical literature to collecting, sorting, storage, applications, and become a knowledge economy era demand of medical literature on knowledge management. Construction of medical literature, knowledge map provides a conducive to medical literature knowledge guide, transfer and use, in order to try to reveal the logic relations of medical knowledge, in turn, more properly applied, make it play a greater effectiveness.
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