A General Approach for Partitioning Web Page Content Based on Geometric and Style Information
Hai-Feng Guo, Jishnu Mahmud, Yevgen Borodin, Amanda J. Stent, I. V. Ramakrishnan · Proceedings of the International Conference on Document Analysis and Recognition · 2007
In this paper, we describe a general-purpose approach for partitioning Web page content. The novelty of our ap- proach lies in the use of detailed layout information from a Web page renderer to determine spatial locality and identify visual separators, and the use of relaxed matching over pre- sentation style information to determine presentation style similarity. We present several examples to illustrate the gen- erality of our approach.