A Multi-Agent Approach for Peer-to-Peer Based Information Retrieval System

This paper develops and analyzes distributed search techniques for use in a peer-to-peer (P2P) network-based Information Retrieval (IR) system. In the absence of a centralized mediator with global knowledge that directs requests to appropriate agents, agents must cooperate to forward the queries amo...

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Bibliographic Details
Main Authors: Zhang, Haizheng, Croft, W. Bruce, Levine, Brian, Lesser, Victor
Format: Conference Proceeding
Language:English
Subjects:
Collaborative work
Computer science
Computing methodologies > Artificial intelligence > Distributed artificial intelligence > Cooperation and coordination
Computing methodologies > Artificial intelligence > Distributed artificial intelligence > Multi-agent systems
Human-centered computing > Collaborative and social computing > Collaborative and social computing systems and tools
Information analysis
Information retrieval
Information systems > Information retrieval
Information systems > Information retrieval > Information retrieval query processing
Information systems > Information retrieval > Search engine architectures and scalability > Peer-to-peer retrieval
Information systems > World Wide Web > Web searching and information discovery
Joining processes
Network topology
Peer to peer computing
Protocols
Search engines
Social and professional topics > Computing > technology policy > Government technology policy
System performance
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Summary:This paper develops and analyzes distributed search techniques for use in a peer-to-peer (P2P) network-based Information Retrieval (IR) system. In the absence of a centralized mediator with global knowledge that directs requests to appropriate agents, agents must cooperate to forward the queries among themselves so as to find appropriate agents, and return and merge the results in order to fulfill the information retrieval task in a distributed environment. In our approach, the agent society is connected through an agent-view structure maintained by each agent. Initially, the agent-view structures are formed by agents connecting to each other randomly. However, we show that such an approach can be significantly enhanced by dynamically reorganizing the underlying agent-view topology and deploying contextsensitive distributed search algorithms. Experimental results indicate that appropriate organizational structures and distributed search mechanisms can have a positive influence on system performance.
DOI:10.5555/1018409.1018779