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Ontology Evolution for Experimental Data in Food

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Metadata and Semantics Research (MTSR 2015)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 544))

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Abstract

Throughout its life cycle, an ontology may change in order to reflect domain changes or new usages. This paper presents an ontology evolution activity applied to an ontology dedicated to the annotation of experimental data in food, and a plug-in, DynarOnto, which assists ontology engineers for carrying out the ontology changes. Our evolution method is an a priori method which takes as input an ontology in a consistent state, implements the changes selected to be applied and manages all the consequences of those changes by producing an ontology in a consistent state.

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Author information

Authors and Affiliations

  1. INRA and AgroParisTech, 16, rue Claude Bernard, 75231, Paris Cedex 5, France

    Rim Touhami, Juliette Dibie & Liliana Ibanescu

  2. INRA and LIRMM, 2, Place Viala, 34060, Montpellier, France

    Rim Touhami & Patrice Buche

Authors
  1. Rim Touhami
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  2. Patrice Buche
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  3. Juliette Dibie
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  4. Liliana Ibanescu
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Corresponding author

Correspondence to Rim Touhami .

Editor information

Editors and Affiliations

  1. Institute of Thessaloniki, Alexander Technological Educational, Thessaloniki, Greece

    Emmanouel Garoufallou

  2. Manchester Metropolitan University, Manchester, United Kingdom

    Richard J. Hartley

  3. Ionian University, Corfu, Greece

    Panorea Gaitanou

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© 2015 Springer International Publishing Switzerland

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Touhami, R., Buche, P., Dibie, J., Ibanescu, L. (2015). Ontology Evolution for Experimental Data in Food. In: Garoufallou, E., Hartley, R., Gaitanou, P. (eds) Metadata and Semantics Research. MTSR 2015. Communications in Computer and Information Science, vol 544. Springer, Cham. https://doi.org/10.1007/978-3-319-24129-6_34

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  • DOI: https://doi.org/10.1007/978-3-319-24129-6_34

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-24128-9

  • Online ISBN: 978-3-319-24129-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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