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Vers une démarche ontologique pour la gestion des bases de données en agroforesterie

Abstract : In a general context of sustainable development, research on agroforestry takes on its full meaning by making plant-plant interactions intelligible in a potentially degraded environment. For several years now, data from field observations have been acquired in partnership with several categories of stakeholders (in particular foresters, farmers and breeders). It is now a question of opening these data and making them available from the web to other communities. Moreover, studies conducted in agroforestry require systemic approaches in order to better understand, for example, the resilience mechanisms of plants to climate change or soil pollution. It is also necessary to make the data linkable to other data sets related to climate and territories. The double challenge of sharing and linking data in agroforestry brings us closer to what is practiced today within the semantic web with different tools and methods to promote the sharing of open and linked data sources. Semantic web technologies provide standard mechanisms to describe and access resources on the web. The work of this thesis is part of this framework, we reuse standard formats of the semantic web and exploit a range of ontologies both frameworks, domains and terminologies to propose a knowledge model, open and flexible to account for the complexity of data already collected in agroforestry. This model is composed of a domain ontology named "Agroforestry". The importance is given to the publication of perfectly described data by privileging the ability to link these data to data already available on the web (climatic data, soil profiles, data on the functioning of plant communities, etc.). We have also built a terminological ontology dedicated to agroforestry called "AgroforestryVoc". Eventually, this ontology will be dedicated to the linguistic qualification of key concepts shared by the whole community and will be made public on the "AgroPortal" (http://agroportal.lirmm.fr/). The last parts of the thesis work focus on the interpretation of the results obtained from the data interconnection. The "Agroforestry" domain ontology, formalized in OWL 2, is built in such a way as to be able to reason about the integrated data set. The objective is therefore to highlight trends in associations between trees and crops in land use by applying inferential mechanisms on the ontology.
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Submitted on : Friday, April 8, 2022 - 3:10:10 PM
Last modification on : Tuesday, April 12, 2022 - 12:13:10 PM


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  • HAL Id : tel-03519007, version 1


Raphaël Conde Salazar. Vers une démarche ontologique pour la gestion des bases de données en agroforesterie. Sylviculture, foresterie. Université Montpellier, 2021. Français. ⟨NNT : 2021MONTS117⟩. ⟨tel-03519007⟩



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