Classified as tropical forests, the forests of the Congo basin is a huge of ecological sanctuary worthy of conservation that is second only to the Amazon in South America. States funded the development of big budget, combined with rapid urbanization and population growth, accompanied environmental problems are acute. It is in this context that our thesis comes. Our objective was to propose a methodology that aims to establish a mechanism for finding information on the internet for the countries of this region. The use of metadata, and ontology names appeared as one of the potential ways that can help in solving problems in the dynamic followed by space objects and efficient access to their information resources. Unlike other models, we propose that binds the spatiotemporal objects with those of their names and allows the description of information resources based on keywords from the ontology and the index of names.
