Automated Folksonomy Research of Tag Resource Based on Synergetic Mechanism
Wu Pengfei1 Meng Xiangzeng2 Ma Fengjuan2 Lu Wenpeng3
1 (Library of Shijiazhuang College, Shijiazhuang 050035,China) 2 (School of Communication, Shandong Normal University, Jinan 250014,China) 3 (School of Information Science and Technology, Shandong Institute
of Light Industry, Jinan 250100, China)
This paper, which based on the structure and revelatory rules to Web page’s segmentation and the area semantic identification, realizes the understanding of Web page’s semantics, and presents the definition of the Web multimedia relevant text. Besides that, combining with its distribution characteristics, it has adopted three levels analysis method to carry on the extraction, including the individual level, the area level and the page level, thus realized the Web multimedia relevant text accurately to extract.
吴鹏飞,孟祥增,马凤娟,鹿文鹏. Web多媒体相关文本提取研究[J]. 现代图书情报技术, 2007, 2(9): 62-65.
Wu Pengfei,Meng Xiangzeng,Ma Fengjuan,Lu Wenpeng. Automated Folksonomy Research of Tag Resource Based on Synergetic Mechanism. New Technology of Library and Information Service, 2007, 2(9): 62-65.
［1］ Eakins J P.Automatic Image Content Retrieval-Are We Getting Anywhere［R］?In:Proc of 3rd Int’l Confon Electronic Library and Visual Information Research.De Montfort University,Milton Keynes:Aslib,1996:123-135.
［2］ Gudivada V N ,Raghavan V V .Content-based Image Retrieval System［J］.IEEE Computer,1995,28(9):18-22.
［3］ Chang S,Smith J,Beigi M,et al.Visual Information Rieval From Large Distributed Onliner Epositories［J］.Communictions of ACM,1997(40):63-71.
［4］ Rowe N,Frew B.Automatic Caption Localization for Photographs on World-Wide Web pages［J］.Information Process and Management,1998(34):95-107.
［5］ Frankel C,Swain M,Athitsos V.WebSeer:An Image Search Engine for the World-Wide Web［R］.Technical Report 94-14.Computer Science Department,University of Chicago,August,1996.
［6］ Harmandas V,Sanderson M,Dunlop M.Image Retrieval by Hpertext Links［C］.In:Proceedings of the ACM SIGIR’97 Conference on Research and Development in Information Retrieval.Philadelphia,PA,July,1997,296-33.
［7］ 万钧，钟亦平，傅维明,等.启发式相关文本提取技术研究［J］.小型微型计算机系统，2004,25（4）:582-586.
［8］ 吴鹏飞，孟祥增，刘俊晓,等.基于结构与内容的网页主题信息提取研究［J］.山东大学学报（理学版），2006,41（3）:131-134.
［9］ Zhiguo Gong,Leong Hou U,Chan Wa Cheang.Web Image Indexing by Using Associated Texts［J］. Knowledge and Information Systems, 2006, 10(2): 243-264.
［10］ 林杰斌，刘明德，陈湘.数据挖掘与OLAP理论与实务［M］．北京：清华大学出版社，2003:200-201.
