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Ontology Selection for the Real Semantic Web: How to Cover the Queen’s Birthday Dinner?

  • Conference paper
Managing Knowledge in a World of Networks (EKAW 2006)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 4248))

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Abstract

Robust mechanisms for ontology selection are crucial for the evolving Semantic Web characterized by rapidly increasing numbers of online ontologies and by applications that automatically use the associated metadata. However, existing selection techniques have primarily been designed in the context of human mediated tasks and fall short of supporting automatic knowledge reuse. We address this gap by proposing a selection algorithm that takes into account 1) the needs of two applications that explore large scale, distributed markup and 2) some properties of online ontology repositories. We conclude that the ambitious context of automatic knowledge reuse imposes several challenging requirements on selection.

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Author information

Authors and Affiliations

  1. Knowledge Media Institute (KMi) & Centre for Research in Computing, The Open University, Milton Keynes

    Marta Sabou, Vanessa Lopez & Enrico Motta

Authors
  1. Marta Sabou
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  2. Vanessa Lopez
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  3. Enrico Motta
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Editor information

Editors and Affiliations

  1. Fachbereich Informatik, Universität Koblenz-Landau, Universitätsstraße 1, 56070, Koblenz, Germany

    Steffen Staab

  2. Dept. Information and Knowledge Engineering,, University of Economics, Prague, Winston Churchill Sq. 4, 130 67 Praha 3, Prague, Czech Republic

    Vojtěch Svátek

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© 2006 Springer-Verlag Berlin Heidelberg

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Sabou, M., Lopez, V., Motta, E. (2006). Ontology Selection for the Real Semantic Web: How to Cover the Queen’s Birthday Dinner?. In: Staab, S., Svátek, V. (eds) Managing Knowledge in a World of Networks. EKAW 2006. Lecture Notes in Computer Science(), vol 4248. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11891451_12

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  • DOI: https://doi.org/10.1007/11891451_12

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-46363-4

  • Online ISBN: 978-3-540-46365-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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