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\([MS]^2O\) – A Multi-scale and Multi-step Ontology for Transformation Processes: Application to Micro-Organisms

  • Juliette Dibie
  • Stéphane Dervaux
  • Estelle Doriot
  • Liliana Ibanescu
  • Caroline Pénicaud
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9717)

Abstract

This paper focuses on the knowledge representation for an interdisciplinary project concerning transformation processes in food science. The use case concerns the production of stabilized micro-organisms performed at INRA (French National Institute for Agricultural Research). Experimental observations are available for some inputs of the production processes, at different steps and at a certain scale. Available data sets are described using different vocabularies and are stored in different formats. Therefore there is a need to define an ontology, called \([MS]^2O\), as a common and standardized vocabulary. Users’ requirements were defined through competency questions and the ontology was validated against these competency questions. \([MS]^2O\) ontology aims to play a key role as the representation layer of the querying and simulation systems of the project. This leads to the possibility of comparing different production scenarios and suggesting improvements.

Keywords

Domain ontology building Multi-step and multi-scale ontology Transformation processes 

Notes

Acknowledgments

We are very grateful for the valuable inputs from all the domain experts partners involved in CellExtraDry French national project.

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Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  • Juliette Dibie
    • 1
  • Stéphane Dervaux
    • 1
  • Estelle Doriot
    • 1
  • Liliana Ibanescu
    • 1
  • Caroline Pénicaud
    • 2
  1. 1.UMR MIA-Paris, AgroParisTech, INRA, Université Paris-SaclayParisFrance
  2. 2.UMR GMPA, AgroParisTech, INRA, Université Paris-SaclayThiverval-GrignonFrance

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