Information searching and sharing in large-scale dynamic networks
Proceedings of the 6th international joint conference on Autonomous agents and multiagent systems
A survey on resource discovery mechanisms, peer-to-peer and service discovery frameworks
Computer Networks: The International Journal of Computer and Telecommunications Networking
Searching and sharing information in networks of heterogeneous agents
Proceedings of the 7th international joint conference on Autonomous agents and multiagent systems - Volume 3
Ranking information resources in peer-to-peer text retrieval: an experimental study
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Creation of Semantic Overlay Networks Based on Personal Information
IWANN '09 Proceedings of the 10th International Work-Conference on Artificial Neural Networks: Part II: Distributed Computing, Artificial Intelligence, Bioinformatics, Soft Computing, and Ambient Assisted Living
Mapping Social Networks into P2P Directory Service
SOCINFO '09 Proceedings of the 2009 International Workshop on Social Informatics
An adaptive overlay network inspired by social behaviour
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P2P routing-by-content on a lightweight community basis
OTM'07 Proceedings of the 2007 OTM confederated international conference on On the move to meaningful internet systems - Volume Part I
The ESTEEM platform: enabling P2P semantic collaboration through emerging collective knowledge
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On investigating scalability and robustness in a self-organizing retrieval system
Proceedings of the 9th workshop on Large-scale and distributed informational retrieval
A framework for interest-based community evolution and sharing of latent knowledge
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ACM Transactions on Intelligent Systems and Technology (TIST) - Special section on agent communication, trust in multiagent systems, intelligent tutoring and coaching systems
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Peer selection for query routing is a core task in peer-to-peer networks. Unstructured peer-to-peer systems (like Gnutella) ignore this problem, leading to an abundance of network traffic. Structured peer-to-peer systems (like Chord) enforce a particular, global way of distributing data among the peers in order to solve this problem, but then encounter problems of network volatility and conflicts with the autonomy of the peer data management. In this paper, we propose a new mechanism, INGA, which is based on the observation that query routing in social networks is made possible by locally available knowledge about the expertise of neighbors and a semantics-based peer selection function. We validate INGA by simulation experiments with different data sets. We compare INGA with competing peer selection mechanisms on resulting parameters like recall, message gain or number of messages produced