%0 Journal Article
%T Research on Intelligent Search Engine Based on Semantic Comprehension<br>基于语义理解的智能搜索引擎研究
%A CHEN Lin
%A YANG Dan
%A ZHAO Jun-qin
%A <br>陈林
%A 杨丹
%A 赵俊芹
%J 计算机科学
%D 2008
%I 
%X This article proposes a search engine model which is based on the natural language understanding. It includes a method to analyze users' quest ions in natural language from three layers, that is, keyword, quest ion type and question focus. The analysis consists of semantic analysis, feature extraction and semantic matching. And with this thought the feature base that faces to Web page content is built. In addition, this article proposes an algorithm of returning to the documents arrangement, it investigates...
%K Natural language process
%K Word segmentation
%K Semantic analysis
%K Vector space model<br>自然语言处理
%K 分词
%K 语义分析
%K 向量空间模型
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=64A12D73428C8B8DBFB978D04DFEB3C1&aid=621E2EFA77A2CBF84F2A21A1165F43EB&yid=67289AFF6305E306&vid=6209D9E8050195F5&iid=B31275AF3241DB2D&sid=04445C1D2BDA24EE&eid=E2546871E5B846EF&journal_id=1002-137X&journal_name=计算机科学&referenced_num=0&reference_num=7