摘要
针对目前信息检索中用户经常找不到或者查不准的情况,提出了一种基于成语典故本体的信息检索模型,并且对该模型及其特性进行了详细分析。在对用户提问进行系统深入分析的基础上,提出了问题模式和答案模式,可提高语义检索的效率,能够在一定程度上提高查准率和查全率。
Aiming at the problem that the users often can not retrieve useful information or retrieve information is inaccurate,this paper presented an information retrieval model based on Idiom Literary quotation Ontology,and the model and its characteristics were analyzed in detail.Through a systematic in-depth analysis of the users' questions,the questions mode and answers mode were proposed,it can improve the efficiency of semantic retrieval,improve the precision rate and recall rate to a certain extent.
出处
《计算机科学》
CSCD
北大核心
2011年第B10期219-221,共3页
Computer Science
关键词
成语典故本体
分词
语义检索
相似度
Idiom literary quotation ontology
Lexical analysis
Semantic retrieval
Similarity