%0 Journal Article
%T Hierarchical clustering-based semantic retrieval of RDF graph<br>一种层次聚类的RDF图语义检索方法研究
%A LIU Ning
%A ZUO Feng-hu
%A ZHANG Jun
%A <br>刘　宁
%A 左凤华
%A 张　俊
%J 计算机应用研究
%D 2012
%I 
%X The current research related RDF graph retrieve exists some problems, such as low efficiency of memory usage, low search efficiency and so on. This paper proposed a hierarchical clustering semantic retrieval model on RDF graph and the method based on the model to solve aforesaid problems. That extracting entities from RDF graph and hierarchical clustering by the guidance of the ontology library made the complex graph structure into a tree structure for efficient retrieval. Orientating target object which was one of nodes in the model in RDF conducted the semantic expansion queries. Retrieval efficiency increased because retrieval scope narrow down as construction of retrieval model and recall ratio increased by the semantic expansion queries.
%K RDF图
%K 层次聚类
%K 语义检索
%K 向量空间模型
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=C2AB4F886AE798C9A17F266B6B0AF6E7&yid=99E9153A83D4CB11&vid=771469D9D58C34FF&iid=5D311CA918CA9A03&sid=174E664553129467&eid=529FE73EEAC55063&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=0&reference_num=17