摘要
介绍了基于语义搜索引擎的工作原理、模型结构和特点,从空间向量和语义词典相似度两方面分析了基于语义搜索引擎的文本相似度算法和词语相似度的计算方法。建立了空间向量模型,并使用C++语言计算了文本相似度。结果表明,算法能够有效的计算文本相似度,更好地实现与用户之间的交互,达到查全查准的目的,为各领域信息的快速、准确检索提供了参考。
Work principle of search engine,its structure and feature from the aspect of semantic are introduced.The text similarity algorithm are analyzed and compared form both the spatial vector and the semantic dictionary similarity aspects.Accordingly,the vector space model is built,the text similarity algorithm is calculated by using of C++language.The results show that the algorithm can effectively be used in calculating text similarity,better implementing the interaction between users,as well as achieving the aim of accurate and complete searching.A reference is given to every fields in going for a fast and correct retrieval.
作者
李楠
张凡娜
LI Nan;ZHANG Fan-na(School of Mathematics and Computer Application, Shangluo University, Shangluo 726000, Shaanxi)
出处
《商洛学院学报》
2018年第6期1-5,29,共6页
Journal of Shangluo University
基金
陕西省教育厅专项科研计划项目(16JK1240)
关键词
语义
搜索引擎
文本相似度
词频
semantic
search engine
text similarity
word frequency