Les ontologies en agriculture

Abstract

National audienceLes ontologies ont été utilisées ces dernières années pour résoudre un certain nombre de problèmes et en particulier pour améliorer l’interopérabilité dans les systèmes d’information. Les objectifs de cet article sont de présenter différents types d’ontologies utilisées en agriculture et d’expliquer comment les systèmes d’information utilisent ces ontologies pour résoudre leurs problèmes d’interopérabilité

An ontology-based approach to integration of hilly citrus production knowledge

“…The ontology application to agriculture solves interoperability and integration issues across heterogeneous resources (Roussey et al, 2011).…”

“…Full and efficient sharing and integration of agricultural data are the foundations for agricultural semantic interoperability (Roussey et al, 2011). Although abundant citrus expert knowledge exists in texts, tables, and pictures, it is unable to be processed by computers directly.…”

SAAONT: Ontological knowledge-based development to support intelligent decision-making systems for Saudi Arabian agriculture

“…The use of ontologies has been successfully adopted on a large scale, to create specific domain knowledge bases, i.e., medical information for healthcare that is internationally consistent. Many studies (Roussey et al, 2010;Goumopoulos et al, 2009) have identified ontologies as a solution to standardizing specific concepts, thus being capable of addressing issues of interoperability within existing systems (Lauser et al, 2006). However, there is now an urgent need to standardize concepts of 'agriculture' about the use of advanced technologies, (Lauser et al, 2006;Joo et al, 2016).…”

“…Ontologies have been reported as beneficial for many domains, including (1) healthcare; (2) smart cities; (3) financial markets; and (4) agriculture (Meenachi and Baba, 2012). This has prompted a global tend focusing on the establishment and development of ontologies for the agricultural sector (Roussey et al, 2010). The Food and Agriculture Organization (FAO) has established the need to incorporate ontology within current agricultural research and development, to improve the current situation in both the agricultural and food sectors and increase smart sustainable development for all its members.…”

A pragmatic approach for sustainable development based on semantic web services

“…al. [18], where contributions from different areas, such as Natural Language Processing, database integration, Information Retrieval and web technologies, are described. The problem of lack of information is discussed and the authors stated that "the knowledge to carry on sustainable agriculture is not yet available because this knowledge may not exist or is much localized, hard to acquire and repeat".…”