Toward Peer-to-Peer Based Semantic Search Engines - An Organizational Approach

This book frames a peer-to-peer information retrievalproblem as a multi-agent framework and attacks itfrom an organizational perspective by exploringvarious adaptive, self-organizing topologicalorganizations, designing appropriatecoordination strategies, and exploiting learningtechniques to create more accurate routing policy forlarge-scale agent organizations. In addition, areinforcement-learning based approach is developed inthis thesis to take advantage of the run-timecharacteristics of P2P IR systems, includingenvironmental parameters, bandwidth usage, andhistorical information about past search sessions. Inthe learning process, agents refine their contentrouting policies by constructing relatively accuraterouting tables based on a Q-learning algorithm.Experimental results show that this learningalgorithm considerably improves the performance ofdistributed search sessions in P2P IR systems.The book is addressed to researchers andpractitioners in information retrieval and searchengine, content-based routing areas.

Product details

• Authors: Haizheng Zhang, Zhang Haizheng
• Publisher: VDM Verlag Dr. Müller
• Languages: English
• Product format: Paperback / Softback
• Released: 01.01.2008
• EAN: 9783639084795
• ISBN: 978-3-639-08479-5
• No. of pages: 164
• Dimensions: 150 mm x 220 mm x 10 mm
• Weight: 262 g
• Subject: Natural sciences, medicine, IT, technology > IT, data processing > Internet