Abstract
In this paper, we propose a content description model and framework for efficient content distribution. The content description model employs ideas from Resource Description Framework and External Annotation, which allow flexible descriptions for Web content. The model also allows a server to efficiently select any subset of the descriptions of any Web page and deliver them to a proxy. The framework consists of algorithms for the proxies to map user preferences and device capabilities to a set of functions to be performed, and for the server to select and deliver necessary content descriptions to the proxy, and for the proxy to efficiently cache and reuse the content descriptions. With our content description model and framework, best-fit content presentation for pervasive Internet access can be made possible.
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© 2006 Springer-Verlag Berlin Heidelberg
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Chi, CH., Liu, L., Zhang, S. (2006). Content Description Model and Framework for Efficient Content Distribution. In: Last, M., Szczepaniak, P.S., Volkovich, Z., Kandel, A. (eds) Advances in Web Intelligence and Data Mining. Studies in Computational Intelligence, vol 23. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-33880-2_6
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DOI: https://doi.org/10.1007/3-540-33880-2_6
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-33879-6
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