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タイトル
和文: 
英文:Relationship Extraction Methods Based on Co-occurrence in Web Pages and Files 
著者
和文: 宋強, 渡辺陽介, 横田治夫.  
英文: Qiang Song, Yousuke Watanabe, Haruo Yokota.  
言語 English 
掲載誌/書名
和文: 
英文:Proceeding of The 13th International Conference on Information Integration and Web-based Applications & Services 
巻, 号, ページ         pp. 82 - 89
出版年月 2011年12月7日 
出版者
和文: 
英文:ACM 
会議名称
和文: 
英文:The 13th International Conference on Information Integration and Web-based Applications & Services (iiWAS2011) 
開催地
和文:ホーチミン市 
英文:Ho Chi Minh City 
ファイル
公式リンク http://www.iiwas.org/conferences/iiwas2011/
 
DOI http://dx.doi.org/10.1145/2095536.2095552
アブストラクト Every day, information on the Web becomes increasingly enriched. Web access is now very useful in many aspects of daily life, particularly for writing documents and programs. In fact, it has become quite usual to edit files while referring to information on the Web. During the file-editing process, we usually visit so many Web pages that we cannot remember all of the relevant ones. Later, if we want to revisit the same Web pages to modify some part of a file, it can be very hard to track down the Web pages originally referred to. In this paper, we propose methods for finding relationships between files and Web pages based on the co-occurrence of data in Web-access logs and file-access logs. These relationships are very useful for revisiting Web pages related to target files. To analyze co-occurrence in these two types of access logs, there are two approaches for merging the logs, involving a trade-off between accuracy and execution time. We call them the Pre-Merge and Post-Merge methods, and we have evaluated these two methods using actual access logs.

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