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Similarity searching is particularly important in distributed networks such as P2P systems, which use various routing schemes to submit queries to relevant peers. We investigate content-based information routing and retrieval using similarity search in clustered P2P overlay networks and focus on their maintenance cost models and performance issues. We present a query model for a cluster based P2P...
Content based search in audio-visual collections requires media specific analysis for extracting low level features to be efficiently indexed and searched. We present the SAPIR media framework for analyzing digital content and representing the extracted features in a common schema, used to index and search content in a P2P network. The framework contains splitters of compound objects into simple objects...
Online communities have recently become a popular tool for publishing and searching content, as well as for finding and connecting to other users that share common interests. The content is typically user-generated and includes, for example, personal blogs, bookmarks, and digital photos. A particularly intriguing type of content is user-generated annotations (tags) for content items, as these concise...
Peers and data objects in the hybrid overlay network (HON) are organized in a n-dimensional feature space. As the dimensionality increases, peers and data objects become sparse and the distance measures become increasingly meaningless which leads to serious problems affecting HON performance. In this paper we propose a distributed feature selection technique reduce the dimensionality in HON. We study...
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