doi: 10.4304/jsw.6.12.2421-2425
Segmenting Webpage with Gomory-Hu Tree Based Clustering
- 1 School of Computer Science and Technology, Dalian University of Technology, Dalian, China
- 2 School of Software, Dalian University of Technology, Dalian, China
Abstract
We propose a novel web page segmentation algorithm based on finding the Gomory-Hu tree in a planar graph. The algorithm firstly distills vision and structure information from a web page to construct a weighted undirected graph, whose vertices are the leaf nodes of the DOM tree and the edges represent the visible position relationship between vertices. Then it partitions the graph with the Gomory-Hu tree based clustering algorithm. Experimental results show that, compared with VIPS and Chakrabarti et al.’s graph theoretic algorithm, our algorithm improves upon the other two with much higher precision and recall, and its running time is far lower than that of Chakrabarti et al.’s graph theoretic algorithm.
Keywords
- Webpage segmentation
- DOM tree
- Gomory-
How to Cite
Xinyue Liu, Hongfei Lin, and Ye Tian, "Segmenting Webpage with Gomory-Hu Tree Based Clustering," Journal of Software, vol. 6, no. 12, pp. 2421-2425, 2011. https://doi.org/ 10.4304/jsw.6.12.2421-2425
Copyright & License
Copyright © 2011 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).