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A Scalable Framework for Multimedia Knowledge Management

  • Yves Raimond
  • Samer A. Abdallah
  • Mark Sandler
  • Mounia Lalmas
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4306)

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.

Keywords

Resource Description Framework Domain Ontology Logical Predicate Knowledge Environment SPARQL Query 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Yves Raimond
    • 1
  • Samer A. Abdallah
    • 1
  • Mark Sandler
    • 1
  • Mounia Lalmas
    • 2
  1. 1.Centre for Digital Music, Queen MaryUniversity of London 
  2. 2.Department of Computer Science, Queen MaryUniversity of London 

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