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


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


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
Research Field:Artificial intelligence not elsewhere classified
Objective Division:Information and Communication Services
Objective Group:Information systems, technologies and services
Objective Field:Information systems, technologies and services not elsewhere classified
UTAS Author:Kim, YS (Dr Yang Kim)
UTAS Author:Kang, SW (Mr Sung Kang)
UTAS Author:Kang, BH (Professor Byeong Kang)
ID Code:62512
Year Published:2009
Deposited By:Information and Communication Technology
Deposited On:2010-03-12
Last Modified:2014-12-09

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