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Y. Bar-Yam. Dynamics of Complex Systems. Westview Press, 1997. 6. L. Barabási and R. Albert. Emergence of scaling in random networks. Science 286:509-512, 1999. 7. M. Bawa, G. Manku, and P. Raghavan. SETS: Search enhanced by topicsegmentation. In Proceedings of the 26th Annual International Conference on Research and Development in Informaion Retrieval (SIGIR’03), 2003. 8. A. Crespo and H. Garcia-Molina. Semantic overlay networks. In submission. TEAM LinG - Live, Informative, Non-cost and Genuine!
1 Annotations for a Peer Classification Classification annotations include mainly information about the peer location, human readable description and its classification within existing taxonomies. We distinguish between the following attributes: Peer ID. This ID represents a unique identifier of the peer within the network. Since we use the JXTA plattform as underlaying P2P infrastructure we use the JXTA ID URN. Peer Description. Human readable label, describing the purpose of the peer. Peer IP.
17] proposes a model for encoding semantic information as content categorization, security information, visibility of resources at a peer and caching of resources. This model is similar to ours, but it isn’t used for clustering and it doesn’t contain schema and quality information. The model used in  consists of one or several content classifications which are used to form semantic overlay networks, also to avoid searching on nodes that have unrelated content. 1 Annotations for a Peer Classification Classification annotations include mainly information about the peer location, human readable description and its classification within existing taxonomies.