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Computer Science > Artificial Intelligence

arXiv:2301.05478 (cs)
[Submitted on 13 Jan 2023]

Title:Structuring ontologies in a context of collaborative system modelling

Authors:Romy Lynn Chaib (INRAE), Rallou Thomopoulos (INRAE), Catherine Macombe (INRAE)
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Abstract:Prospective studies require discussing and collaborating with the stakeholders to create scenarios of the possible evolution of the studied value-chain. However, stakeholders don't always use the same words when referring to one idea. Constructing an ontology and homogenizing vocabularies is thus crucial to identify key variables which serve in the construction of the needed scenarios. Nevertheless, it is a very complex and timeconsuming task. In this paper we present the method we used to manually build ontologies adapted to the needs of two complementary system-analysis models (namely the "Godet" and the "MyChoice" models), starting from interviews of the agri-food system's stakeholders.
Subjects: Artificial Intelligence (cs.AI); Computation and Language (cs.CL)
Cite as: arXiv:2301.05478 [cs.AI]
  (or arXiv:2301.05478v1 [cs.AI] for this version)
  https://doi.org/10.48550/arXiv.2301.05478
Journal reference: Atelier IN-OVIVE, 6i{è}me {é}dition, Jun 2021, Saint Etienne (FR), France

Submission history

From: Romy Chaib [view email] [via CCSD proxy]
[v1] Fri, 13 Jan 2023 11:13:39 UTC (786 KB)
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