Abstract
In this paper a recommender system of personalized TV contents, named AVATAR, is presented. We propose a modular multi-agent architecture for the system, whose main novelty is the semantic reasoning about user preferences and historical logs, to improve the traditional syntactic content search. Our approach uses Semantic Web technologies – more specifically an OWL ontology – and the TV-Anytime standard to describe the TV contents. To reason about the ontology, we have defined a query language, named LIKO, for inferring knowledge from properties contained in it. In addition, we show an example of a semantic recommendation by means of some LIKO operators.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Ardissono, L., et al.: Personalized Digital TV: Targeting Programs to Individual Viewers, ch. 5 (2004)
Daconta, M., et al.: The Semantic Web: A Guide to the Future of XML, Web Services and Knowledge Management. John Wiley & Sons, Chichester (2003)
Davies, J., et al.: OntoShare: Using Ontologies for Knowledge Sharing. In: Proceedings of the 11th International WWW Conference WWW 2002 (2002)
Davies, J., et al.: Towards the Semantic Web: Ontology-driven Knowledge Management. John Wiley & Sons, Chichester (2003)
Decker, S., et al.: Ontobroker: Ontology Based Access to Distributed and Semi-Structured Information. In: DS-8, pp. 351–369 (1999)
Geroimenko, V., et al.: Visualizing the Semantic Web. Springer, Heidelberg (2003)
Heckerman, D.: Bayesian networks for data mining. Data Mining and Knowledge Discovery, 79–119 (1997)
Mouaddib, A., et al.: Knowledge-based anytime computation. In: Proceedings of IJCAI (1995)
Resnick, P., et al.: Grouplens: An open architecture for collaborative filtering of netnews. In: Proceedings of Conference on Computer Supported Cooperative Work (1994)
Sekine, S., et al.: A decision tree method for finding and classifying names in japanese texts. In: Proceedings of the Sixth Workshop on Very Large Corpora (1998)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2004 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Blanco-Fernández, Y. et al. (2004). AVATAR: An Advanced Multi-agent Recommender System of Personalized TV Contents by Semantic Reasoning. In: Zhou, X., Su, S., Papazoglou, M.P., Orlowska, M.E., Jeffery, K. (eds) Web Information Systems – WISE 2004. WISE 2004. Lecture Notes in Computer Science, vol 3306. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30480-7_43
Download citation
DOI: https://doi.org/10.1007/978-3-540-30480-7_43
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-23894-2
Online ISBN: 978-3-540-30480-7
eBook Packages: Springer Book Archive