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The increased volume of data in digital form has led to a wide variety of syntactic and semantic data. Thus, the user may encounter several problems related to the heterogeneity, distribution and volume of returned information. As a matter of fact, systems are needed to solve part or all of these problems. In this paper we propose and illustrate a distributed architecture that enables personalized access to collections of heterogeneous and distributed semi-structured documents (XML, RDF, SMIL). This architecture is based on an extension on the reference architecture of mediation systems DARPA I3 by adding an adaptation layer, based on the reference architecture for adaptive hypermedia systems AHA!, that takes into account the user’s request, his context (profile, device, network, etc.. ) and data sources context (minimum bandwidth, necessary characteristics of the device to display data, etc.).

MEDI-ADAPT - A Distributed Architecture for Personalized Access to Heterogeneous Semi-structured Data