Research Of Key Technologies On Rural Medical Text Retrieval Based On Distributed Environment

Now technology of rural healthcare information is not perfect. Rural medical data is very large, but the data utilization is very low. How accurately and quickly retrieve the data from the needed data and to help rural barefoot doctors and rural residents is the purpose of research of Key Technology on rural health care. Distributed text retrieval technology can solve these problems.This paper focuses on the key technology of distributed text retrieval. The key technology of research include:distributed search model, distributed indexing, participle tools, weight calculation formula. Studied and analyzed the common retrieval model and distributed technology; Designed a distributed search model; By using Hadoop and MapReduce programming framework, achieved the creation of a distributed index; Select the appropriate participle tools, and build a reasonable extension and stop words vocabulary; After comparative and analysis of the common weight calculation formula, improved the weight calculation formula. Through research and optimization of these key technologies, design and develop a distributed framework for text retrieval. To test the performance of retrieval framework, did some detailed experiment. Do a detailed analysis of the experimental results.After experimental tests, in this paper, the design and implementation of distributed text retrieval framework has some good features on medical data. Not only shorten, the text retrieval time and improves the accuracy of text retrieval, and can provide a good service to rural doctors and rural residents.