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International Conference on Knowledge Engineering and Knowledge Management

EKAW 2004: Engineering Knowledge in the Age of the Semantic Web pp 187–202Cite as

Medical Ontology and Virtual Staff for a Health Network

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3257))

Abstract

In the context of a care network, we describe our method for reconstitution of a medical ontology via the translation of a medical database (DB) towards RDF(S) language. Then we show how we extended this ontology, among others through natural language processing of a textual corpus. Then, we present the construction of a Virtual Staff, enabling a cooperative diagnosis by some of the care network actors, by relying on this medical ontology.

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Author information

Authors and Affiliations

  1. ACACIA Project, INRIA, 2004, route des Lucioles, B.P. 93, 06902 Cedex, Sophia Antipolis, France

    Rose Dieng-Kuntz, David Minier, Frédéric Corby, Marek Ruzicka, Olivier Corby, Laurent Alamarguy & Phuc-Hiep Luong

Authors
  1. Rose Dieng-Kuntz
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  2. David Minier
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  3. Frédéric Corby
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  4. Marek Ruzicka
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  5. Olivier Corby
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  6. Laurent Alamarguy
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  7. Phuc-Hiep Luong
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Editor information

Editors and Affiliations

  1. Knowledge Media Institute, The Open University, Milton Keynes, UK

    Enrico Motta

  2. Electronics and Computer Science, University of Southampton, UK

    Nigel R Shadbolt

  3. Knowledge Media Institute, Open University, UK

    Arthur Stutt

  4. University of Southampton, SO17 1BJ, Southampton, UK

    Nick Gibbins

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© 2004 Springer-Verlag Berlin Heidelberg

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Dieng-Kuntz, R. et al. (2004). Medical Ontology and Virtual Staff for a Health Network. In: Motta, E., Shadbolt, N.R., Stutt, A., Gibbins, N. (eds) Engineering Knowledge in the Age of the Semantic Web. EKAW 2004. Lecture Notes in Computer Science(), vol 3257. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30202-5_13

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  • DOI: https://doi.org/10.1007/978-3-540-30202-5_13

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-23340-4

  • Online ISBN: 978-3-540-30202-5

  • eBook Packages: Springer Book Archive

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