Web page element classification based on visual features

Proceedings - 2009 1st Asian Conference on Intelligent Information and Database Systems, ACIIDS 2009

Volumn , Issue , 2009, Pages 67-72

  Burget, Radek ^a   Rudolfová, Ivana ^a  

^a BRNO UNIVERSITY OF TECHNOLOGY   (Czech Republic)

Author keywords

[No Author keywords available]

Indexed keywords

AREA DETECTION; BLOCK CLASSIFICATION; BLOCK DETECTION; CONTENT CLASSIFICATION; DATA MINING METHODS; EXPERIMENTAL EVALUATION; HUMAN READERS; PAGE SEGMENTATION; REAL WORLD DATA; VISUAL APPEARANCE; VISUAL FEATURE; WEB PAGE;

DATABASE SYSTEMS; MINING;

WORLD WIDE WEB;

EID: 70449096361     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ACIIDS.2009.71     Document Type: Conference Paper

References (14)

1. B. Bos, H. W. Lie, C. Lilley, and I. Jacobs. Cascading Style Sheets, level 2, CSS2 Specification. The World Wide Web Consortium, 1998.
2. R. Burget. Automatic document structure detection for data integration. Lecture Notes in Computer Science, 2007(4439):391-397, 2007.
3. R. Burget. Layout based information extraction from html documents. In ICDAR 2007, page 5. IEEE Computer Society, 2007.
4. D. Cai, S. Yu, J.-R. Wen, and W.-Y. Ma. VIPS: a Visionbased Page Segmentation Algorithm. Microsoft Research, 2003.
5. B. Caldwell, M. Cooper, L. G. Reid, and G. Vanderheiden. Web Content Accessibility Guidelines 2.0. The World Wide Web Consortium, 2008.
6. D. Chakrabarti, R. Kumar, and K. Punera. A graph-theoretic approach to webpage segmentation. In 17th International World Wide Web Conference, 2008.
7. S. Gupta, G. Kaiser, D. Neistadt, and P. Grimm. Dom-based content extraction of html documents. In WWW2003 proceedings of the 12 Web Conference, pages 207-214, 2003.
8. M. Kovacevic, M. Diligenti, M. Gori, and V. Milutinovic. Recognition of common areas in a web page using visual information: a possible application in a page classification. In ICDM '02: Proceedings of the 2002 IEEE International Conference on Data Mining (ICDM'02), page 250, Washington, DC, USA, 2002. IEEE Computer Society.
9. S.-H. Lin and J.-M. Ho. Discovering informative content blocks from web documents. In KDD '02: Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining, pages 588-593, New York, NY, USA, 2002. ACM.
10. S. Mukherjee, G. Yang, W. Tan, and I. Ramakrishnan. Automatic discovery of semantic structures in html documents. In International Conference on Document Analysis and Recognition. IEEE Computer Society, 2003.
11. J. R. Quinlan. C4.5: programs for machine learning. Morgan Kaufmann Publishers Inc., San Francisco, CA, USA, 1993.
12. R. Song, H. Liu, J.-R. Wen, and W.-Y. Ma. Learning block importance models for web pages. In WWW '04: Proceedings of the 13th international conference on World Wide Web, pages 203-211, New York, NY, USA, 2004. ACM.
13. L. Yi, B. Liu, and X. Li. Eliminating noisy information in web pages for data mining. In Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery & Data Mining. ACM, 2003.
14. S. Yu, D. Cai, J.-R. Wen, and W.-Y. Ma. Improving Pseudo- Relevance Feedback in Web Information Retrieval Using Web Page Segmentation. Microsoft Research, 2002.