A natural language model for managing TV-Anytime information in mobile environments

Authors:
Anastasia Karanastasi;Fotis G. Kazasis;Stavros Christodoulakis
Affiliations:
Lab. Of Distributed Multimedia Information Systems / Technical University of Crete, (MUSIC/TUC), Kounoupidiana, Chania, Greece;Lab. Of Distributed Multimedia Information Systems / Technical University of Crete, (MUSIC/TUC), Kounoupidiana, Chania, Greece;Lab. Of Distributed Multimedia Information Systems / Technical University of Crete, (MUSIC/TUC), Kounoupidiana, Chania, Greece
Venue:
UMICS'04 Proceedings of the Second CAiSE conference on Ubiquitous Mobile Information and Collaboration Systems
Year:
2004

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Abstract

The TV-Anytime standard describes structures of categories of digital TV program metadata, as well as User Profile metadata for TV programs. We describe a natural language model for the users to interact with the TVAnytime metadata and preview TV programs from their mobile devices. The language utilizes completely the TV-Anytime metadata specifications and it can accommodate future metadata extensions. The interaction model does not use clarification dialogues, but it uses the user profiles to rank the possible answers in case of ambiguities, as well as TV-Anytime Metadata information and ontologies with information concerning digital TV. We describe an implementation of the language that runs on a PDA and a mobile phone and manages the metadata on a remote TV-Anytime compatible TV set.