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Chapter and Conference Paper
A Model-Based Approach Providing Context-Sensitive Television Interaction
With this demonstrator of iFanzy, a Personalized Electronic Program Guide, we want to show how we approached the integration problem between various devices and various heterogeneous data sources in the televi...
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Chapter
Semantic-Based Framework for Integration and Personalization of Television Related Media
In this paper we try to identify requirements, opportunities and problems in home media centers and we propose an approach to address them by describing an intelligent home media environment. The major issues ...
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Chapter and Conference Paper
Convergence of Web and TV Broadcast Data for Adaptive Content Access and Navigation
iFanzy is a personalized TV guide application aiming at offering users television content in a personalized and context-sensitive way. It consists of a client-server system with multiple clients and devices su...
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Article
Semantic-based framework for personalised ambient media
The paper proposes a semantic-based metadata framework for personalised interaction with TV media in a connected home context. Our approach allows the current home media centres to go beyond the simple concept...
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Chapter and Conference Paper
Semantics-Based Framework for Personalized Access to TV Content: The iFanzy Use Case
The ICT landscape is develo** into a highly-interactive distributed environment in which people interact with multiple devices (e.g. portable devices such as mobile phones and home equipment such as TV’s) an...
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Chapter and Conference Paper
SenSee Framework for Personalized Access to TV Content
In this paper we present our framework, SenSee, designed to provide context-aware and personalized search that can be used to support multimedia applications in making content recommendations. Our primary demo...
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Chapter and Conference Paper
Engineering Semantic-Based Interactive Multi-device Web Applications
To build high-quality personalized Web applications developers have to deal with a number of complex problems. We look at the growing class of personalized Web Applications that share three characteristic chal...