Semantic grouping of social networks in P2P database settings

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Abstract

Social network structures map network links to semantic relations between participants in order to assist in efficient resource discovery and information exchange. In this work, we propose a scheme that automates the process of creating schema synopses from semantic clusters of peers which own autonomous relational databases. The resulting mediated schemas can be used as global interfaces for relevant queries. As our experimental evaluations show, this method increases both the quality and the quantity of the retrieved answers and allows for faster discovery of semantic groups by joining peers. © Springer-Verlag Berlin Heidelberg 2007.

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APA

Kantere, V., Tsoumakos, D., & Sellis, T. (2007). Semantic grouping of social networks in P2P database settings. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4653 LNCS, pp. 689–699). Springer Verlag. https://doi.org/10.1007/978-3-540-74469-6_67

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