Abstract
In this paper, we describe a knowledge management framework that addresses the needs of multimedia analysis projects and provides a basis for information retrieval systems. The framework uses Semantic Web technologies to provide a shared knowledge environment, and active Knowledge Machines, wrapping multimedia processing tools, to exploit and/or export knowledge to this environment. This framework is able to handle a wide range of use cases, from an enhanced workspace for researchers to end-user information access. As an illustration of how the proposed framework can be used, we present a case study of music analysis.
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Raimond, Y., Abdallah, S.A., Sandler, M., Lalmas, M. (2006). A Scalable Framework for Multimedia Knowledge Management. In: Avrithis, Y., Kompatsiaris, Y., Staab, S., O’Connor, N.E. (eds) Semantic Multimedia. SAMT 2006. Lecture Notes in Computer Science, vol 4306. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11930334_2
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DOI: https://doi.org/10.1007/11930334_2
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-49335-8
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