Gossip-Based Computation of Aggregate Information
FOCS '03 Proceedings of the 44th Annual IEEE Symposium on Foundations of Computer Science
Estimating network size from local information
Information Processing Letters
Epidemic-Style Proactive Aggregation in Large Overlay Networks
ICDCS '04 Proceedings of the 24th International Conference on Distributed Computing Systems (ICDCS'04)
Decentralized Schemes for Size Estimation in Large and Dynamic Groups
NCA '05 Proceedings of the Fourth IEEE International Symposium on Network Computing and Applications
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ICDE '06 Proceedings of the 22nd International Conference on Data Engineering
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Information retrieval in folksonomies: search and ranking
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Meta methods for model sharing in personal information systems
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WONS'09 Proceedings of the Sixth international conference on Wireless On-Demand Network Systems and Services
Tagster - tagging-based distributed content sharing
ESWC'08 Proceedings of the 5th European semantic web conference on The semantic web: research and applications
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Scaling pair-wise similarity-based algorithms in tagging spaces
ICWE'12 Proceedings of the 12th international conference on Web Engineering
Semantic stability in social tagging streams
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Intelligent Data Analysis - Dynamic Networks and Knowledge Discovery
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Self-organizing structure and availability of almost unlimited resource capacities make the peer-to-peer architecture very attractive for large-scale sharing of annotated data in Web 2.0 scenarios. This paper addresses the problem of information aggregation and utilization in a decentralized tagging environment. We introduce the vector space model for characterization of users, resources, and tags. We analyze the problem of constructing a reliable approximation for feature vectors in a fully decentralized setting and introduce possible solutions. The results of large-scale systematic evaluation with realistic data sets witness the viability of our approach.