The VLDB Journal (2000) 9: 18–37 The VLDB Journal c Springer-Verlag 2000 Learning response time for WebSources using query feedback and application in query optimization 1 2 2 2 Jean-Robert Gruser , Louiqa Raschid , Vladimir Zadorozhny , Tao Zhan Netforce, Levallois-Perret, France, E-mail: email@example.com University of Maryland, College Park, MD 20742, USA; E-mail: flouiqa,vladimir,firstname.lastname@example.org Edited by P. Atzeni and A.O. Mendelzon. Received June 22, 1999 / Accepted December 24, 1999 Abstract. The rapid growth of the Internet and support for Key words: Data-intensive applications on the Web – Query interoperability protocols has increased the number of Web languages and systems for Web data accessible sources, WebSources. Current wrapper mediator architectures need to be extended with a wrapper cost model (WCM) for WebSources that can estimate the response time (delays) to access sources as well as other relevant statistics. 1 Introduction In this paper, we present a Web prediction tool (WebPT), a tool that is based on learning using query feedback from The rapid growth of the Internet and Intranets, and the emer- WebSources. The WebPT uses dimensions time of day, day, gence of interchange formats, e.g., XML, that facilitate the and quantity of data, to learn response times
The VLDB Journal – Springer Journals
Published: Mar 1, 2000
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