Facilitating efficient knowledge management and discovery in the Agronomic Sciences

International audienceThe advancement of empirical and information technologies in the recent years have drastically increased the amount of data in fields of Life Sciences, and Agronomic Sciences. To understand the complexity of a given system it is important to link (integrate) diverse datasets. A promising solution towards data integration challenges is offered by the Semantic Web technologies1. The Semantic Web was proposed, to remedy the fragmentation of all potentially useful information on the web. Currently, the bio-medical domain has accepted the Semantic Web technologies as a means to manage (integrate) knowledge. Although we are witnessing an increased usage of ontologies within the Agronomic Sciences, the data in this domain is highly distributed in nature. Utilizing these data resources more effectively and taking advantage of associated cross-disciplinary research opportunities poses a major challenge to both domain experts and information technologists