OntoCSA

Author:

Fonou-Dombeu Jean Vincent1,Naidoo Nadia1,Ramnanan Micara1,Gowda Rachan1,Lawton Sahil Ramkaran1

Affiliation:

1. University of KwaZulu-Natal, South Africa

Abstract

The modelling of agriculture with ontologies has been of interest to many authors in the past years. However, no research, currently, has focused on building a knowledge base ontology for the Climate Smart Agriculture (CSA) domain. This study attempts to fill this gap through the development of a Climate Smart Agriculture Ontology (OntoCSA). Information was gathered from secondary sources including websites, published research articles and reports as well as related ontologies, to formalize the OntoCSA ontology in Description Logics (DLs). The OntoCSA ontology was developed in Web Ontology Language (OWL) with Protégé. Furthermore, the OntoCSA ontology was successfully validated with the HermiT reasoner within Protégé. The resulting OntoCSA ontology is a machine-readable model of CSA that can be leveraged in web-based applications for the storage, open and automated access and sharing of CSA information/data, for research and dissemination of best practices

Publisher

IGI Global

Subject

Information Systems

Reference51 articles.

1. An Ontology-Based Information Extraction System for Organic Farming

2. Amin, A., Mubeen, M., Hammad, H.M., & Nasim, W. (2015). Climate Smart Agriculture: an approach for sustainable food security. Agricultural Research Communication Centre, 2(3), 13-21.

3. Co-designing Climate-Smart Farming Systems With Local Stakeholders: A Methodological Framework for Achieving Large-Scale Change

4. Introduction to Semantic Web Ontology Languages. In Reasoning Web;G.Antoniou;First International Summer School,2005

5. ECONOMIC MODELING OF CLIMATE-SMART AGRICULTURE IN IRAN

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