Querying capability modeling and construction of deep web sources

  • Authors:
  • Liangcai Shu;Weiyi Meng;Hai He;Clement Yu

  • Affiliations:
  • Department of Computer Science, SUNY at Binghamton, Binghamton, NY;Department of Computer Science, SUNY at Binghamton, Binghamton, NY;Department of Computer Science, SUNY at Binghamton, Binghamton, NY;Department of Computer Science, University of Illinois at Chicago, Chicago, IL

  • Venue:
  • WISE'07 Proceedings of the 8th international conference on Web information systems engineering
  • Year:
  • 2007

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Abstract

Information in a deep Web source can be accessed through queries submitted on its query interface. Many Web applications need to interact with the query interfaces of deep Web sources such as deep Web crawling and comparison-shopping. Analyzing the querying capability of a query interface is critical in supporting such interactions automatically and effectively. In this paper, we propose a querying capability model based on the concept of atomic query which is a valid query with a minimal attribute set. We also provide an approach to construct the querying capability model automatically by identifying atomic queries for any given query interface. Our experimental results show that the accuracy of our algorithm is good.