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Web Database Query Interface Annotation Based on User Collaboration
作者姓名:LIU  Wei  LIN  Can  MENG  Xiaofeng
作者单位:School of Information, Renmin University of China,Beijing 100872, China
摘    要:A vision based query interface annotation meth od is used to relate attributes and form elements in form based web query interfaces, this method can reach accuracy of 82%. And a user participation method is used to tune the result; user can answer "yes" or "no" for existing annotations, or manually annotate form elements. Mass feedback is added to the annotation algorithm to produce more accurate result. By this approach, query interface annotation can reach a perfect accuracy.

关 键 词:Web  数据库  数据综合  数据提取
文章编号:1007-1202(2006)05-1403-04
收稿时间:2006-03-25

Web database query interface annotation based on user collaboration
LIU Wei LIN Can MENG Xiaofeng.Web Database Query Interface Annotation Based on User Collaboration[J].Wuhan University Journal of Natural Sciences,2006,11(5):1403-1406.
Authors:Liu Wei  Lin Can  Meng Xiaofeng
Institution:(1) School of Information, Renmin University of China, 100872 Beijing, China
Abstract:A vision based query interface annotation method is used to relate attributes and form elements in form-based web query interfaces, this method can reach accuracy of 82%. And a user participation method is used to tune the result; user can answer “yes” or “no” for existing annotations, or manually annotate form elements. Mass feedback is added to the annotation algorithm to produce more accurate result. By this approach, query interface annotation can reach a perfect accuracy. Foundation item: Supported by the National Natural Science Foundation of China (60573091, 60273018) Biography: LIU Wei (1976-), male, Ph.D. candidate, research direction: Web data integration.
Keywords:Web database  data integration  data extraction
本文献已被 CNKI 维普 万方数据 SpringerLink 等数据库收录!
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