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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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Language: | English |
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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
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creator | Zhang, Haizheng Croft, W. Bruce Levine, Brian Lesser, Victor |
description | 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_str_mv | 10.5555/1018409.1018779 |
format | conference_proceeding |
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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. 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Bruce</creatorcontrib><creatorcontrib>Levine, Brian</creatorcontrib><creatorcontrib>Lesser, Victor</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE/IET Electronic Library</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection><collection>Computer and Information Systems Abstracts</collection><collection>Technology Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts – Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Zhang, Haizheng</au><au>Croft, W. Bruce</au><au>Levine, Brian</au><au>Lesser, Victor</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>A Multi-Agent Approach for Peer-to-Peer Based Information Retrieval System</atitle><btitle>Autonomous Agents and Multiagent Systems: Proceedings, 3rd International Joint Conference, New York City, New York, 2004.</btitle><stitle>AAMAS</stitle><date>2004-07-19</date><risdate>2004</risdate><spage>456</spage><epage>463</epage><pages>456-463</pages><isbn>9781581138641</isbn><isbn>1581138644</isbn><abstract>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.</abstract><cop>Washington, DC, USA</cop><pub>IEEE Computer Society</pub><doi>10.5555/1018409.1018779</doi><tpages>8</tpages></addata></record> |
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identifier | ISBN: 9781581138641 |
ispartof | Autonomous Agents and Multiagent Systems: Proceedings, 3rd International Joint Conference, New York City, New York, 2004., 2004, p.456-463 |
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source | IEEE Electronic Library (IEL) Conference Proceedings |
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 |
title | A Multi-Agent Approach for Peer-to-Peer Based Information Retrieval System |
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