A Web Page Segmentation Approach Using Visual Semantics

• ZENG Jun

  Graduate School of Information Science and Electrical Engineering, Kyushu University

• FLANAGAN Brendan

  Graduate School of Information Science and Electrical Engineering, Kyushu University

• HIROKAWA Sachio

  Research Institute for Information Technology, Kyushu University

• ITO Eisuke

  Research Institute for Information Technology, Kyushu University

抄録

Web page segmentation has a variety of benefits and potential web applications. Early techniques of web page segmentation are mainly based on machine learning algorithms and rule-based heuristics, which cannot be used for large-scale page segmentation. In this paper, we propose a formulated page segmentation method using visual semantics. Instead of analyzing the visual cues of web pages, this method utilizes three measures to formulate the visual semantics: layout tree is used to recognize the visual similar blocks; seam degree is used to describe how neatly the blocks are arranged; content similarity is used to describe the content coherent degree between blocks. A comparison experiment was done using the VIPS algorithm as a baseline. Experiment results show that the proposed method can divide a Web page into appropriate semantic segments.

収録刊行物

• IEICE Transactions on Information and Systems

  IEICE Transactions on Information and Systems E97.D (2), 223-230, 2014

  一般社団法人 電子情報通信学会

キーワード

• web page segmentation
• visual semantics
• seam degree
• content similarity

詳細情報

• CRID: 1390282679356122112
• NII論文ID: 130003394825
• DOI: 10.1587/transinf.e97.d.223
• ISSN: 17451361
• ISSN: 09168532
• Web Site: https://www.jstage.jst.go.jp/article/transinf/E97.D/2/E97.D_223/_pdf
• 本文言語コード: en
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