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Ontology for Long-Term Knowledge

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Book cover Advances in Applied Artificial Intelligence (IEA/AIE 2006)

Abstract

This article presents experience feedback regarding one of the methods EDF uses for the reappropriation of ontological concepts in the field of control and instrumentation. The final approach used here has enabled us to check out these problems in a satisfactory manner. It has enabled us to obtain consistent and consensual ontology capitalizing on the knowledge involving the concepts impacting the field of production plant instrumentation and control.

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© 2006 Springer-Verlag Berlin Heidelberg

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Dourgnon-Hanoune, A., Salaün, P., Roche, C. (2006). Ontology for Long-Term Knowledge. In: Ali, M., Dapoigny, R. (eds) Advances in Applied Artificial Intelligence. IEA/AIE 2006. Lecture Notes in Computer Science(), vol 4031. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11779568_63

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  • DOI: https://doi.org/10.1007/11779568_63

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-35453-6

  • Online ISBN: 978-3-540-35454-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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