Databases, Information Systems, and Peer-to-Peer Computing

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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[15] 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 [7] 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.

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