Modeling RDF Data for MetOcean Information Systems

This paper suggests a Resource Description Framework (RDF) model for effective handling of distributed data relating to the Semantic Web. RDF is a data model that integrates aptly structured data. The World Wide Web is facing great challenges in data retrieval as a result of increase and request of knowledge from different sources. This brings the issue of information overload. Therefore, in minimizing this challenge, the paper presents the process of modeling RDF knowledge base which is the essential step of Semantic Web development. As a state-ofthe-art research, a meteorological and oceanographic dataset has been used to provide the basic concepts of RDF serialization. The result accessed through the developed SPARQL endpoint. Thus, it implies that the approach is sufficient for querying as well as data representation of distributed data.