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2007
IEEE

Tree-Pattern Similarity Estimation for Scalable Content-based Routing

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Tree-Pattern Similarity Estimation for Scalable Content-based Routing
With the advent of XML as the de facto language for data publishing and exchange, scalable distribution of XML data to large, dynamic populations of consumers remains an important challenge. Content-based publish/subscribe systems offer a convenient design paradigm, as most of the complexity related to addressing and routing is encapsulated within the network infrastructure. To indicate the type of content that they are interested in, data consumers typically specify their subscriptions using a tree-pattern specification language (an important subset of XPath), while producers publish XML content without prior knowledge of any potential recipients. Discovering semantic communities of consumers with similar interests is an important requirement for scalable content-based systems: such "semantic clusters" of consumers play a critical role in the design of effective content-routing protocols and architectures. The fundamental problem underlying the discovery of such semantic co...
Raphaël Chand, Pascal Felber, Minos N. Garofa
Added 01 Nov 2009
Updated 01 Nov 2009
Type Conference
Year 2007
Where ICDE
Authors Raphaël Chand, Pascal Felber, Minos N. Garofalakis
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