SWRank: An Approach for Ranking Semantic Web Reversely and Consistently

摘要：

The semantic web is a typical link-based graph consisting of resources (labeled nodes) and relations (labeled edges). Ranking facility is required in order to assist human and intelligent agent in finding appropriate resources from massive knowledge organized in the semantic web. The complexity lies in that relations are labeled and directed, and a huge number of fine-grained resources can describe either schema or instance data. We propose SWRank as a semantic web ranking approach which applies an objectlevel link analysis ranking algorithm reversely to the direction of relations and consistently across the schema graph and the data graph. Our preliminary experiment shows that the approach has a similar converge property to and more reasonable ranking result than PageRank in evaluating the importance of individual resources in the semantic web.

作者: Gang Wu Juanzi Li

作者单位: Department of Computer Science, Tsinghua University Beijing, P.R.China 100084

会议类型: 国际会议

会议名称: 2007年第三届语义和知识网格国际会议(Third International Conference on Semantics,Knowledge,and Grid)(SKG 2007)

会议地点: 西安

会议语种:英文

在线出版日期: 2007-10-29（万方平台首次上网日期，不代表论文的发表时间）