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Using knowledge base for event-driven scheduling of web monitoring systems
conference contribution
posted on 2023-05-23, 04:50 authored by Kim, YS, Kang, SW, Byeong KangByeong Kang, Compton, PHWeb 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.
History
Publication title
Proceedings of E-Commerce and Web Technologies (EC-Web 2009)Editors
Di Noia,T & Buccafurri FPagination
169-180ISBN
978-3-642-03963-8Department/School
School of Information and Communication TechnologyPublisher
Springer-VerlagPlace of publication
Berlin, HeidelbergEvent title
E-Commerce and Web Technologies (EC-Web)Event Venue
Linz, AustriaDate of Event (Start Date)
2009-09-01Date of Event (End Date)
2009-09-04Rights statement
The original publication is available at http://www.springerlink.comRepository Status
- Restricted