Research on Text Clustering Based On Web Concept Semantic Tree

摘要：

In this paper,the semantic tree consists of contents of How Net to eliminate the ambiguities of words and cluster semantic similar documents based on clustering of contents,we address a novel method to solve key word obstacle problem,namely concept semantic tree.The novel method based on semantic information of How Net makes the construction of the concept semantic tree more flexible,which can add and delete nodes easily.It also features combining relevancy to solve semantic ambiguity,which can well analyze semantics and improve the effect of text clustering.

关键词： semantic tree How net semantic similarity semantic relevancy Web

作者: Yang Xiquan Dai Shu Zheng Dan

作者单位: School of Computer Science,Northeast Normal University,ChangChun,Jilin,130117

会议类型: 国际会议

会议名称: 2008年国际电子商务、工程及科学领域的分布式计算和应用学术研讨会(2008 International Symposium on Distributed Computing and Applications for Business Engineering and Science)

会议地点: 大连

会议语种:英文

页码: 863-867

在线出版日期: 2008-07-27（万方平台首次上网日期，不代表论文的发表时间）