Cotton Plant Pests and Phenology Knowledge Management in Côte d’Ivoire Using Semantic Web Technologies

In this paper, we are interested in the management of knowledge on the dynamics of pests and the phenology of cotton plant. This issue is a serious concern for the cotton sector in Côte d’Ivoire. Indeed, enormous parasitic pressures cause crop losses that vary between 30% and 100% of the production potential. A phytosanitary surveillance strategy for cotton has therefore been put in place. It is in this context that an ontologically based decision support system has been proposed. This system includes a mobile application for data collection and an ontology-based semantic wiki for knowledge management. The mobile application is deployed, and an ontology dedicated to the phytosanitary surveillance of cotton plant has been proposed. This ontology should be used as a knowledge base for the semantic wiki. We present in this paper the implementation of this semantic wiki that we call SYSPARCOT-CI WikiS. This platform is the first of its kind in cotton cultivation, mainly in phytosanitary surveillance. It is based on Semantic MediaWiki. The data from this semantic wiki as well as the data from the mobile application will be used to populate the ontology and to enrich it. The construction approach of our semantic wiki platform is based on ontologies for wikis. Using the ontology we built, we constructed a semantic web platform. Then, using a Python script, this ontology was imported into the semantic wiki.