An Improved Full-text Retrieval for Elementary Education Resource Database System

Abstract

With the rapid development of Internet and information technology, ways of teaching and learning in China’s elementary education have begun to change. In the face of massive resources, how to optimize the searching results and improve users’ satisfaction through the search services, has now become a major priority. Based on the in-depth study of full-text retrieval technology, combined with the actual searching needs of the elementary education resources, this paper focuses on Chinese word segmentation technology, and proposes a user-defined professional dictionary based on cell lexicon. Experiments show that using this professional dictionary to segment words improves the professionalism of word segmentation results and the accuracy of search results. Meanwhile, an improved full-text retrieval for elementary education resource database system based on Lucene is designed and implemented, including resource collection, text pre-processing, content indexing and resource retrieval. This system is successfully integrated and applied to the massive knowledge base platform for elementary education, which meets the needs of full-text retrieval of textbooks and supplementary content, and makes a good effect.