Advances in Semantic Media Adaptation and Personalization by Yeliz Yesilada, Sean Bechhofer (auth.), Dr. Manolis Wallace,

By Yeliz Yesilada, Sean Bechhofer (auth.), Dr. Manolis Wallace, Professor Marios C. Angelides, Dr. Phivos Mylonas (eds.)

Realizing the turning out to be value of semantic edition and personalization of media, the editors of this e-book introduced jointly prime researchers and practitioners of the sphere to debate the state of the art, and discover rising intriguing advancements. This quantity contains prolonged models of chosen papers awarded on the 1st foreign Workshop on Semantic Media model and Personalization (SMAP 2006), which came about in Athens in December 2006.

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With respect to this, the Web is considered as a closed hypermedia and a number of systems such as DLS are introduced to address this limitation [24]. These systems allow readers to create links (or other hypermedia structures) on top of arbitrary Web pages and share these links with others. Compared to these, COHSE marries the work on open hypermedia and SW by using the existing infrastructure of the Web. Semantic annotation is the process of semantically enriching Web pages by adding metadata so that they are not only understandable by humans but also by machines [17].

Acknowledgments Sun Microsystems Laboratories supported this research, whose support we are pleased to acknowledge. We would also like to acknowledge Robert Stevens, Simon Jupp and the Sealife team for providing the NELI use case and the related materials. References 1. M. Anderson. Integrating open hypermedia systems with the world wide web. In Proceedings of the Eighth ACM Conference on Hypertext, pages 157–166. ACM, 1997. 2. M. Apted. General purposive browsing. Library Association Record, 73(12): 228–230, 1971.

Personalised multimedia access aims at enhancing the retrieval process by complementing explicit user requests with implicit user preferences. We propose and discuss the benefits of the introduction of ontologies for an enhanced representation of the relevant knowledge about the user, the context, and the domain of discourse, as a means to enable improvements in the retrieval process and the performance of adaptive capabilities. We develop our proposal by describing techniques in several areas that exemplify the exploitation of the richness and power of formal and explicit semantics descriptions, and the improvements therein.

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