Decisional DNA digital TV: concept and initial experiment

Authors:
Haoxi Zhang;Cesar Sanin;Edward Szczerbicki
Affiliations:
Faculty of Engineering and Built Environment, School of Engineering, The University of Newcastle, Callaghan, NSW, Australia;Faculty of Engineering and Built Environment, School of Engineering, The University of Newcastle, Callaghan, NSW, Australia;Gdansk University of Technology, Gdansk, Poland
Venue:
ICCCI'11 Proceedings of the Third international conference on Computational collective intelligence: technologies and applications - Volume Part I
Year:
2011

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Abstract

Together with the booming popularity of Digital TV, the information of how viewers watch TV (preferences, content, viewing times, etc) could quite easily be available and extremely valuable. By running customized smart applications at viewers' set-top boxes, capturing and processing their viewing experiences, the TV program providers can not only collect information from their customers but also offer interactive contents to their viewers while improving customer service. In order to capture, reuse, and share the past experiences and preferences of how the viewers watch TV, we propose a novel application of the Decisional DNA to the Digital TV field. Decisional DNA is a domain-independent, flexible, smart knowledge representation structure which allows its domains to acquire, reuse, evolve and share knowledge in an easy and standard way. In this paper, we present the features, architecture and initial experimental results of our work.