期刊文献+

Deep Web馆藏图书集成查询系统的研究与分析

Research and analysis of the integrated search system of the library based on Deep Web
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摘要 随着World Wide Web(WWW)的飞速发展,各种各样的可搜索的在线数据库极大地丰富了Web信息,然而这些信息通常隐藏在Web查询接口下,传统的搜索引擎由于技术原因不能查询Deep Web信息。上于Deep Web数据的异构性和动态性,有效地把这些信息加以利用是一件重要而很有挑战性的工作。为了方便用户检索图书馆领域内的Deep Web信息,对Deep Web馆藏图书查询系统进行了研究。介绍了Deep Web概念,分析了国内外研究现状,在现有相关研究成果的基础上,提出了一个Deep Web数据集成的系统架构。 With the development of World Wide Web (WWW) , various searchable online databases have enriched the Web information. However, this kind of information is often hidden under the Web query interfaces that the traditional search engines cannot get the Deep Web information due to technical reasons. Since the data of Deep Web are heterogeneous and dynamic, it is important and challenging to make full use of the Deep Web information. For the sake of convenient search of the Deep Web information in library, this paper makes research on the search system of the library based on Deep Web. Through the analysis of the status quo of the research on Deep Web at home and abroad, this paper presents a system architecture of Deep Web data integration on the basis of the related research achievements.
作者 马玉祥 冯骁
出处 《西安欧亚学院学报》 2009年第2期60-64,共5页 Journal of xi‘an Eurasia University
关键词 DEEP WEB 数据集成 模式匹配 集成查询系统 Deep Web data integration pattern match integrated search system
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参考文献1

  • 1Erhard Rahm,Philip A. Bernstein. A survey of approaches to automatic schema matching[J] 2001,The VLDB Journal(4):334~350

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