Research On The Application Of Bilingual Education Literature Retrieval Based On Knowledge Map

Since the founding of China, Bilingual education of Chinese and minority language gradually drew the attention of teachers andresearchers. After decades of research and development, a lot of theories, methods and techniques have made a good practice and application and published literature is growing to endless. In order to manage these literature resources effectively, and provide a more convenient and efficient document retrieval services for research, this article will expand research on personalized retrieval application to "Bilingual Education Literature".Now, in the era of big data with explosive growth of information resources, how to screen out information quickly and accurately in the mass information resources is the goal of modern information engine. In order to improve information retrieval results, it first proposed the semantic information retrieval research based on "understanding", and achieved good effect. At present, mapping knowledge domain (referred to as the knowledge map) from the science of metrology has gradually raised.and caused a new boom on study of semantic information retrieval, Google, Baidu and other domestic international authority of the search engines have introduced the theory and method of knowledge map, and it has made significant performance in semantic information search and intelligence aspects.The existing literature search systems typically still use "keyword" matching method to retrieve, search results often contain many information not related, which brings inconvenience. For this reason, attempts to achieve semantic information retrieval is significant and has great application value. This study, based on the idea of "knowledge map", aiming at literature related to Bilingual education, aiming to create semantic document retrieval system. Firstly create a local Bilingual education literature resource database by library resources (China HowNet and Weifang database); Secondly, draw classification system for all documentation with specific criteria and retrieval keywords from Research Topic and objects angles. Next, Design semantic tags based on document classification standard, tag the literature and build knowledge map and literature retrieval system. Finally, we depict, analyzed and predict the overall trend of Bilingual Education research, hot topics and key words language lineage based on the retrieval system.