Design And Implementation Of Search System Based On Biomedical Data

With the rapid development of network information,people are increasingly concerned about how to quickly and effectively extract the potential,valuable information from a large number of network information.Internet search engine came into being,which becomes a very powerful tool for users to retrieve network information.The current research on search engines is one of the most popular areas of Internet technology.With more and more in-depth research search engine,search engine technology is constantly moving forward.At the same time,the design and implementation of the search engine is a huge project,which need to use more professional and technical knowledge.The above situations become the higher threshold in search engine research and development,and restrict the popularity of search engines.Solr is currently open source enterprise search engine server,it has the characteristics of high efficiency and independence,which has been widely concerned recently.This paper investigates and implements an example of a Solr search system based on biomedical data.The system is divided into three modules,namely,data processing module,index module and search module.Based on the research and use of SolrJ,the system first analyzes the biomedical data and processes the biomedical data into the common XML document format in the computer,so that the processed data can be applied to the Solr search system;then through the study of SolrJ source code,and the analysis of processed document,the analytical content submitted to the Solr search server for word segmentation and indexing;in the search module,users can input query keyword in the front page,where the query request submit to the Solr search server,the response of the results will return to the front page.