A Graph-Theoretic Approach to Webpage Segmentation

摘要：

We consider the problem of segmenting a webpage into visually and semantically cohesive pieces. Our approach is based on formulating an appropriate optimization problem on weighted graphs, where the weights capture if two nodes in the DOM tree should be placed together or apart in the segmentation; we present a learning framework to learn these weights from manually labeled data in a principled manner. Our work is a significant departure from previous heuristic and rule-based solutions to the segmentation problem. The results of our empirical analysis bring out interesting aspects of our framework, including variants of the optimization problem and the role of learning.

关键词： Webpage sectioning webpage segmentation energy minimization graph cuts correlation clustering

作者: Deepayan Chakrabarti Ravi Kumar Kunal Punera

作者单位: Yahoo! Research 701 First Ave.Sunnyvale, CA 94089.

会议类型: 国际会议

会议名称: 第十七届国际万维网大会(the 17th International World Wide Web Conference)(WWW08)

会议地点: 北京

会议语种:英文

在线出版日期: 2008-04-21（万方平台首次上网日期，不代表论文的发表时间）