A General Approach for Partitioning Web Page Content Based on Geometric and Style Information

Authors:
H. Guo;J. Mahmud;Y. Borodin;A. Stent;I. Ramakrishnan
Affiliations:
Stony Brook University, NY;Stony Brook University, NY;Stony Brook University, NY;Stony Brook University, NY;Stony Brook University, NY
Venue:
ICDAR '07 Proceedings of the Ninth International Conference on Document Analysis and Recognition - Volume 02
Year:
2007

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Abstract

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.