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MP-IR: A Market-Oriented Mobile Agents System for Distributed Information Retrieval

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Part of the book series: Advances in Intelligent and Soft Computing ((AINSC,volume 122))

Abstract

Most of the Information Retrieval (IR) systems are built on the Client – Server paradigm. While agent-based market systems have relative success, agent-based IR systems seem to fail. Recently, works on a mobile agent-based approach for the search of information on the World Wide Web arise. Indeed, the emergence of mobile agent has given the researchers a new way to achieve efficient mobile agents-based IR systems. This paradigm certainly holds great promise, though the lack of results in reliability and security issues. However, we feel that integrating market mechanisms to a new mobile agent model should improve security while bringing the possibility to solve non market applications problems. In this paper, we present how to use a mobile agent-based approach. The main idea is to generalize the market mechanisms to non-market systems such as IR through an extended mobile agents’ model, the seller – buyer model. Then, we present the architecture of a secure mobile agent-based searching system that derives from a general mobile agents-based architecture. Finally, we give an experimental validation to our proposition.

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Menacer, D.E., Drias, H., Sibertin-Blanc, C. (2011). MP-IR: A Market-Oriented Mobile Agents System for Distributed Information Retrieval. In: Wang, Y., Li, T. (eds) Foundations of Intelligent Systems. Advances in Intelligent and Soft Computing, vol 122. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25664-6_44

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  • DOI: https://doi.org/10.1007/978-3-642-25664-6_44

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-25663-9

  • Online ISBN: 978-3-642-25664-6

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