Conference Paper

Convergence of Web and TV Broadcast Data for Adaptive Content Access and Navigation

DOI: 10.1007/978-3-540-70987-9_54 Conference: Adaptive Hypermedia and Adaptive Web-Based Systems, 5th International Conference, AH 2008, Hannover, Germany, July 29 - August 1, 2008. Proceedings
Source: DBLP


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 such that the user can ubiquitously use TV set-top
box, mobile phone and Web-based applications to select and receive personalised TV content. TV content and background data
from various heterogeneous sources is integrated to provide a transparent knowledge structure, which allows the user to navigate
and browse the vast content sets nowadays available. Semantic Web techniques are applied for enriching and aligning Web data
and (live) broadcast content. The resulting RDF/OWL knowledge structure is the basis for iFanzy’s main functionality, like
semantic search of the broadcast content and execution of context-sensitive recommendations.

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Available from: Lora Aroyo, Oct 05, 2015
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    ABSTRACT: The design of approaches for supporting the user in the navigation of a variety of contents is an interesting area of research with many potential applications. In particular, interactive television (iTV) offers users the opportunity of accessing a huge amount of contents, ranging from general to specialized ones. As a consequence, the exploration of such contents must be supported in some way. In this paper, we present an innovative approach that integrates some recent methodologies and technologies developed in different areas of Artificial Intelligence and the Web: user-model-based adaptation, social networking, semantic annotation, and content sharing. We show how the integration of these technologies can provide interesting opportunities for a new approach to content navigation and discovery based on the possibility of exploring personalized networks of contents, users and concepts. Also, we focus on the specific goal of designing a platform for accessing iTV contents with the aim of providing the user with many alternative ways of exploring and discovering potentially interesting videos. After discussing the application, integrated in a project by Telecom Italia for a new paradigm of iTV, we preset the architecture we designed for integrating the methodologies discussed above. KeywordsUser modelling–Web 2.0–Social networks–Folksonomies–Personal space–Content navigation support–Content discovery–Recommender systems
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