A novel method to extract informative blocks from web pages

IJCAI International Joint Conference on Artificial Intelligence

Volumn , Issue , 2009, Pages 536-539

  Li, Yuancheng ^a   Yang, Jie ^a  

^a NORTH CHINA ELECTRIC POWER UNIVERSITY   (China)

Author keywords

Cst; Dom tree; Information system applications

Indexed keywords

CST; DOM TREE; NOVEL ALGORITHM; NOVEL METHODS; WEB CONTENT; WEB PAGE;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; INFORMATION SYSTEMS; MARKUP LANGUAGES; TURPENTINE;

WORLD WIDE WEB;

ALGORITHMS; INFORMATION SYSTEMS; LANGUAGES; TURPENTINE;

EID: 70350773884     PISSN: 10450823     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/JCAI.2009.156     Document Type: Conference Paper

References (10)

1. LAN Yi, BING Liu, and Xiao-li Li, "Eliminating Noisy Information in Web Pages for Data Mining, " International Conference on Knowledge Discovery and Data Mining, 2003, pp. 296-305, doi: 10.1145/956750.956785.
2. S. Gupta, G.E.Kaiser, D.Neistadt, and P. Grimm, "Dom-based content extraction of html documents, " The 12th international conference on World Wide Web, 2003, pp. 207-214, doi: 10.1145/775152.775182.
3. Lin Shian-Hua, and Ho Jan-Ming, "Discovering Informative Content Blocks from Web Documents, " The eighth ACM SIGKDD international conference on Knowledge discovery and data mining, 2002, pp. 588-593, doi: 10.1145/775047.775134.
4. ZHAO Cheng-li, and Yi Dong-yun, "A Method of Eliminating Noises in Web Pages by Style Tree Model and Its Applications, " Wuhan University Journal of Natural Sciences, vol. 9, 2004, pp. 611-616, .
5. Valter Crescenzi, Giansalvatore Mecca, and Paolo Merialdo, "ROADRUNNER: Towards automatic data extraction from large web sites, " The 27th International Conference on Very Large Data Bases, 2001, pp. 109-118.
6. S. Debnath, P. Mitra, and C. L. Giles, "Automatic extraction of informative blocks from webpages, " The 2005 ACM symposium on Applied computing, 2005, pp. 1722-1726, doi: 10.1145/1066677.1067065.
7. Yan Fu, Dongqing Yang, and Shiwei Tang, "Using XPath to Discover Informative Content Blocks of Web Pages, " Third Internationals Conference on Semantics, Knowledge and Grid, 2007, pp. 450-453, doi: 10.1109/SKG.2007.290.
8. B. Esfandiari and R. Nock, "Adaptive filtering of advertisements on web pages, " Special interest tracks and posters of the 14th international conference on World Wide Web, May. 2005, pp. 916- 917, doi: 10.1145/1062745. 1062796.
9. A. Finn, N. Kushmerick, and B. Smyth, "Fact or fiction: Content classification for digital libraries, " in DELOS Work-shop: Personalisation and Recommender Systems in Digital Libraries, 2001.
10. J. -R. W. Deng Cai, Shipeng Wu and W.-Y. Ma, "Vips: a visionbased page segmentation algorithm. Technical report, " Microsoft Technical Report, 2003.