摘要
文章提出一种优化查询方法,该方法将本体概念语义相似度和词法之间的关系相结合。先利用语法特征对用户输入的关键字进行扩展,然后通过分析语义相似度的强弱对扩展的结果进行收敛,以这种方式来提高用户输入的关键字和本体映射的准确性和完整率。传统搜索引擎不能很好地理解用户的意图的缺陷通过此方法可以得到有效解决。同时文章针对方法实现了优化查询系统,结果显示,搜索的准确率得到有效提升。
A Query Refinement Scheme, which synthesize relation and concept semantic similarity, is presented. First, analyze lexical characteristic of the keywords, then by analyzing the intensity of the concept semantic similarity among the ontology instances to convergence words, the accuracy and completeness of the mapping from key word to ontology entities can be improved. Search engine can effectively speculate user＇s intentions to solve the problem which is that the traditional search engine can＇t understand the user＇s intention perfectly. A query refinement system is designed and implemented, the experimentation results show the system can optimize query input efficiently.
出处
《电脑与信息技术》
2012年第4期44-45,60,共3页
Computer and Information Technology
