AICLJan 13, 2023

Structuring ontologies in a context of collaborative system modelling

arXiv:2301.05478v11 citationsh-index: 18
Originality Synthesis-oriented
AI Analysis

This addresses the challenge of vocabulary homogenization for stakeholders in agri-food system modeling, but it is incremental as it applies existing manual methods to specific models.

The paper tackled the problem of building ontologies for collaborative system modeling in agri-food value chains, where stakeholders use different vocabularies, by manually constructing ontologies from interviews to identify key variables for scenario creation.

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.

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