基于本体的教育资源语义检索系统研究

为提高信息检索的准确率和全面性, 在对语义检索技术和领域本体的构建进行充分研究的基础上, 在网络教育资源的检索工作中应用了本体语义的概念, 提出对用户输入的查询条件进行基于本体的查询扩展算法,设计实现了使用Lucene 对扩展后的查询条件进行检索的语义检索模型。实验结果表明, 该检索模型的综合查全率为81郾5%, 综合查准率为83郾1%, 这两项指标均优于传统的关键字检索方法。

Research on Educational Resources Semantic Retrieval System Based on Ontology

In order to improve the accuracy and overall rate of information retrieval, on the basis of studying the relevant technologies about ontology constructing and semantic retrieval, ontology and semantic are applied to education resources retrieval field. Based on the ontology of user input query keywords query expansion, the use of Lucene for the expansion of keywords search, an education resources semantic retrieval system is designed and implemented. The comprehensive recall rate of the retrieval model is 81. 5％, and the comprehensive precision is 83. 1％. The two indexes are all superior to the traditional keyword seardh methods.