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

  • Authors:
  • Anastasia Karanastasi;G. Kazasis;Stavros Christodoulakis

  • Affiliations:
  • Laboratory of Distributed Multimedia Information Systems (MUSIC), Technical University of Crete (TUC), Greece;Laboratory of Distributed Multimedia Information Systems (MUSIC), Technical University of Crete (TUC), Greece;Laboratory of Distributed Multimedia Information Systems (MUSIC), Technical University of Crete (TUC), Greece

  • Venue:
  • Personal and Ubiquitous Computing
  • Year:
  • 2005

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Abstract

The TV-Anytime standard describes the structures of categories of digital TV program metadata, as well as user profile metadata for TV programs. We describe a natural language (NL) model for the users to interact with the TV-Anytime metadata and preview TV programs from their mobile devices. The language utilises completely the TV-Anytime metadata specifications (upper ontologies), as well as domain-specific ontologies. The interaction model does not use clarification dialogues, but it uses the user profiles as well as TV-Anytime metadata information and ontologies to rank the possible responses in case of ambiguities. We describe implementations of the model that run on a PDA and on a mobile phone, and manage the metadata on a remote TV-Anytime-compatible TV set. We present user evaluations of the approach. Finally, we propose a generalised implementation framework that can be used to easily provide NL interfaces for mobile devices for different applications and ontologies.