%0 Journal Article
%T Semantic Retrieval Based on Shallow Semantic Analysis Technology<br>基于浅层语义分析技术的语义检索
%A SUN Zhi-jun
%A ZHENG Quan
%A YUAN Jing
%A LIU Heng
%A WANG Song
%A <br>孙志军
%A 郑烇
%A 袁婧
%A 刘恒
%A 王篙
%J 计算机科学
%D 2012
%I 
%X In the field of information retrieval,semantic retrieval performs better than traditional keywords retrieval in many aspects including effectiveness and User Experience. Semantic retrieval that has become an important technique in the specific domain integrates several methods such as information retrieval, semantic parsing and information integralion. hhis semantic retrieval method based on Lucene analyzes sentences semantically and acquires a formal representalion describing sentences' simple semantic content subsectuently. Afterwards, index of this formal representation will be established. Since multi levels' similarities demonstrating semantic relationships arc merged by information fusion tech- nology and mapped as similarities between query sentences and index data, the purpose of semantic retrieval will be achieved consequently.
%K Semantic retrieval
%K Similarity fusion
%K Indexing technology
%K Semantic analyzing
%K Lucene<br>语义检索
%K 相似度融合
%K 索引技术
%K 语义分析
%K Lucene
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=64A12D73428C8B8DBFB978D04DFEB3C1&aid=48D1E5032809D5D4A2FAA33FB74D707F&yid=99E9153A83D4CB11&vid=7C3A4C1EE6A45749&iid=B31275AF3241DB2D&sid=D767283A3B658885&eid=1F41B209C18B8824&journal_id=1002-137X&journal_name=计算机科学&referenced_num=0&reference_num=0