Semantic Shift Detection in Semantic Web

摘要：

This paper present a method to discover the semantic shift detection(SSD) in semantic. In the way we can detect the shift with the link consisted in web. By usage of topic shifts techniques as terms frequently occurring in documents. Our experiments results show that a number of topics can shift along in a group of terms with same semantic.

关键词： Semantic Shift Topic

作者: Ke Ren Zhixing Huang Anping zhao Yuhui Qiu

作者单位: Semantic Grid Lab, Faculty of Computer and Information Science, Southwest University, Chongqing , China, 400715

会议类型: 国际会议

会议名称: Fifth International Conference on Semantics,Knowledge and Grid(第五届语义、知识与网格国际会议 SKG 2009)

会议地点: 珠海

会议语种:英文

页码: 416-417

在线出版日期: 2009-10-12（万方平台首次上网日期，不代表论文的发表时间）