Journal of Frontiers of Computer Science and Technology ›› 2009, Vol. 3 ›› Issue (2): 113-129.DOI: 10.3778/j.issn.1673-9418.2009.02.001

• 综述·探索 • Previous Articles     Next Articles

Survey of Query Processing in Deep Web Data Integration

JIANG Fangjiao1,2+, MENG Xiaofeng1   

  1. 1. School of Information, Renmin University of China, Beijing 100872, China
    2. College of Physics and Electronic Engineering, Xuzhou Normal University, Xuzhou, Jiangsu 221116, China
  • Received:1900-01-01 Revised:1900-01-01 Online:2009-03-15 Published:2009-03-15
  • Contact: JIANG Fangjiao

Deep Web数据集成中查询处理的研究与进展


  1. 1. 中国人民大学 信息学院,北京 100872
    2. 徐州师范大学 物理与电子工程学院,江苏 徐州 221116
  • 通讯作者: 姜芳艽

Abstract: Query processing is an important component in Deep Web data integration which is becoming one of the hot topics in information field with increasing of Web databases. Due to the scalable, autonomous, heterogeneous and dynamic nature of Web databases, query processing in Deep Web data integration is more challenging compared with that in traditional distributed environment. Three main issues of query processing, i.e., schema matching, database selection and query translation are proposed. The representative work related to the above issues is reviewed. Finally, some future research trends in this area are discussed.

Key words: Deep Web, data integration, schema matching, database selection, query translation

摘要: 随着Web上在线数据库的大量涌现,Deep Web数据集成成为当前信息领域的一个研究热点,而查询处理是其中的一个重要的组成部分。由于Web数据库具有规模大、自治性、异构性以及动态性等特点,使得Deep Web数据集成中的查询处理比传统的分布环境下的查询处理更具挑战性。围绕Deep Web数据集成中查询处理的三个关键研究点:模式匹配、Web数据库的选择以及查询转换,综述了近年来国际上相关的、具代表性的研究成果,分析了这些方法的优缺点,总结并展望了未来的发展方向。

关键词: 深层网络, 数据集成, 模式匹配, 数据库选择, 查询转换