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Towards a Service-Oriented Architecture for the Adaptive Delivery of Heterogeneous Cultural Resources

  • Conference paper
Peer-to-Peer, Grid, and Service-Orientation in Digital Library Architectures

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 3664))

  • 416 Accesses

Abstract

Adaptive systems are becoming essential for supporting the overload and the diversity of digital documents to be archived, retrieved and disseminated. They indeed represent the most promising solution for individuals to be able to handle the amount of data which they are daily flooded with during their professional activities or on their personal devices. However, providing adaptive management of heterogeneous resources remains an important research issue as it requires extensive and global environmental knowledge management to be effective. Communities, as they are sharing interests and accesses to resources, present very interesting characteristics that enable systems to deliver automated and personalized services; the scope of such processes being to take advantage of collaborative involvement in order to provide relevant knowledge management to users, to ensure the consistency of data manipulation, and to improve the distribution of resources within communities. We propose an architecture that complies with this vision and provide a case study based on the elaboration of a collaborative digital archive dedicated to the historical silk roads.

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© 2005 Springer-Verlag Berlin Heidelberg

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Godard, J., Andrès, F., Andaroodi, E., Maruyama, K. (2005). Towards a Service-Oriented Architecture for the Adaptive Delivery of Heterogeneous Cultural Resources. In: Türker, C., Agosti, M., Schek, HJ. (eds) Peer-to-Peer, Grid, and Service-Orientation in Digital Library Architectures. Lecture Notes in Computer Science, vol 3664. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11549819_8

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  • DOI: https://doi.org/10.1007/11549819_8

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-28711-7

  • Online ISBN: 978-3-540-28712-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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