Integrating Interactive TV Services and the Web through Semantics

Author:

Tsetsos Vassileios1,Papadimitriou Antonis1,Anagnostopoulos Christos1,Hadjiefthymiades Stathes1

Affiliation:

1. University of Athens, Greece

Abstract

Interactive TV has started to penetrate broadcasting markets, providing a new user experience through novel services to subscribers and new revenue opportunities for companies. Personalization and intelligent behavior, such as proactive content delivery are considered key features for the services of the future TV. However, most of the work in this area is limited to personalization of electronic program guides and advanced program recommendation. In this article, the authors adopt a more horizontal approach and describe the application of concepts, practices and modern Web trends to the TV domain in the context of the POLYSEMA platform. A key characteristic of this approach is the formal modeling of multimedia and user semantics that enables novel TV services. Specifically, Semantic Web methodologies are employed (e.g., ontologies and rules) while compatibility with the MPEG-7 standard is also pursued. The paper describes the overall architecture of the platform, provides implementation details and investigates business issues.

Publisher

IGI Global

Subject

Computer Networks and Communications,Information Systems

Reference22 articles.

1. W3C Multimedia Semantics Incubator Group. (2009). Multimedia Vocabularies on the Semantic Web. Retrieved July 25, 2009 from http://www.w3.org/2005/Incubator/mmsem/XGR-vocabularies/

2. Anisur Rahman, M., Hossain, A., Kiringa, I., & El Saddik, A. (2006, November). Towards an Ontology for MPEG-7 Semantic Descriptions. Paper presented at the Intelligent Interactive Learning Object Repositories (I2LOR) Conference, Montreal, QC, Canada.

3. Arndt, R., Troncy, R., Staab, S., Hardman, L., & Vacura, M. (2007). COMM: Designing a Well-Founded Multimedia Ontology for the Web. In Proceedings of the 6th International Semantic Web Conference: The Semantic Web, Busan, Korea (LNCS 4825, pp. 30-43). Berlin: Springer.

4. Aroyo, L., Bellekens, P., Bjorkman, M., Houben, G. J., Akkermans, P., & Kaptein, A. (2007). SenSee Framework for Personalized Access to TV Content. In Proceedings of the Interactive TV: a Shared Experience, Amsterdam, The Netherlands (LNCS 4471, pp. 156-165). Berlin: Springer.

5. AVATAR: an improved solution for personalized tv based on semantic inference

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