The state of the art in content-based image retrieval in P2P networks
ICIMCS '10 Proceedings of the Second International Conference on Internet Multimedia Computing and Service
On investigating scalability and robustness in a self-organizing retrieval system
Proceedings of the 9th workshop on Large-scale and distributed informational retrieval
A semantic searching scheme in heterogeneous unstructured P2P networks
Journal of Computer Science and Technology - Special issue on Natural Language Processing
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We analyze routing mechanisms of a self-organizing semantic overlay for content-based search in multimedia data. This overlay operates over any existing P2P network based on the metric space approach. In particular, we replace the previous design of routing mechanisms in Metric Semantic Overlay (MSO) with a new adaptive query-routing algorithm. An advantage of it lies in an automatic tuning of confusability of queries that is used to select peers during query evaluation. These improvements are experimentally evaluated on a real-life and synthetic dataset.