Ontology Design Parameters for Aligning Agri-Informatics with the Semantic Web

Abstract

Abstract. In recent years there have been many efforts in the development of bio-ontologies, where the applied life sciences can see the benefits reaped from, and hurdles observed with, such early-adopter efforts. With the plethora of resources, where should one start developing one's own domain ontology, what resources are available for reuse to speed up its development, for which purposes can the ontology be developed? We group inputs that determine effectiveness of ontology development and use into four types of parameters: purpose, ontology reuse, ways of ontology learning, and the language and reasoning services. We illustrate this for the agriculture domain by building upon experiences gained in previous and current projects.

WASOS: An Ontology for Modelling Traditional Knowledge of Sustainable Water Stewardship

“…Expertise from the contrasting disciplines of water management and ontology modelling can support the aims of systematising 'traditional wisdoms'. It is evident that bio-ontologies can enable the modelling, discovery and unified querying of multidimensional and heterogeneous environmental data resources while benefiting automatic procedures for collection, selection, annotation and indexing of data [2] [3]. Ontologies have already greatly benefited the agricultural domain providing definitions for crops and crop products, agricultural management, and agricultural and environmental policy [4].…”