Mario Cannataro
Lorenzo Gallucci
ABSTRACT
The paper addresses two relevant topics in Content Networks related to the extraction and delivery of multimedia contents: the management of complex and rich multimedia contents, and the heterogeneity of access networks, user's profiles, and browsing interfaces. The former can be faced by using ontology-based modeling techniques, while the latter can exploit adaptive systems. The paper presents a software system that combines ontology-based contents modeling and extraction with adaptive, network-aware, content delivery. Contents are extracted from a knowledge base through reasoning modules and are adapted to the user through an adaptive system that takes into account network and terminal characteristics as well as user profile. To optimize the user profiling activity the proposed system uses a P2P profile sharing and updating mechanism. System architecture and a case study in the cultural assets domain are presented.
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Index Terms
- Semantic extraction and adaptive delivery of multimedia contents for the cultural assets
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