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Using knowledge base for event-driven scheduling of web monitoring systems

Citation

Kim, YS and Kang, SW and Kang, BH and Compton, PH, Using knowledge base for event-driven scheduling of web monitoring systems, Proceedings of E-Commerce and Web Technologies (EC-Web 2009), 1-4 September , Linz, Austria, pp. 169-180. ISBN 978-3-642-03963-8 (2009) [Refereed Conference Paper]


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Copyright Statement

The original publication is available at http://www.springerlink.com

Official URL: http://www.springerlink.com

DOI: doi:10.1007/978-3-642-03964-5_17

Abstract

Web monitoring systems report any changes to their target web pages by revisiting them frequently. As they operate under significant resource con- straints, it is essential to minimize revisits while ensuring minimal delay and maximum coverage. Various statistical scheduling methods have been proposed to resolve this problem; however, they are static and cannot easily cope with events in the real world. This paper proposes a new scheduling method that manages unpredictable events. An MCRDR (Multiple Classification Ripple- Down Rules) document classification knowledge base was reused to detect events and to initiate a prompt web monitoring process independent of a static monitoring schedule. Our experiment demonstrates that the approach improves monitoring efficiency significantly.

Item Details

Item Type:Refereed Conference Paper
Keywords:web monitoring, scheduling, MCRDR.
Research Division:Information and Computing Sciences
Research Group:Artificial Intelligence and Image Processing
Research Field:Artificial Intelligence and Image Processing not elsewhere classified
Objective Division:Information and Communication Services
Objective Group:Computer Software and Services
Objective Field:Computer Software and Services not elsewhere classified
Author:Kim, YS (Dr Yang Kim)
Author:Kang, SW (Mr Sung Kang)
Author:Kang, BH (Professor Byeong Kang)
ID Code:62512
Year Published:2009
Deposited By:Computing and Information Systems
Deposited On:2010-03-12
Last Modified:2014-12-09
Downloads:0

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