Ontological based interoperability and integration framework for heterogeneous weather systems
Revista Técnica de la Facultad de Ingeniería Universidad del Zulia
Weather predictions are used in various sectors viz. agriculture, air traffic, marine, forestry, energy, and severe weather alerts advisories etc. The weather information is widely provided by various systems with different formats and parameters. For the effective utilization of the heterogeneous weather data, various processing techniques are required to resolve the information heterogeneity and to enrich data integration in order to provide a uniform access for various agencies, research
... itutions for better decision making. To address this issue, there is a need to resolve semantic heterogeneities between information systems. An integrated system is formed based on the semantic correspondence between semantically similar elements of different information systems. Ontologies are used as a method to solve the semantic heterogeneity issue, which provides formal, explicit representation of information. Ontology mapping finds semantic correspondence between ontologies and ontology merging integrates mapped ontologies into a single ontology. This integrated system ensures fast and vast information access from a single source. In this paper a novel framework is proposed for integrating heterogeneous information systems, using ontology merging which is based on ontology mapping relations. To evaluate our framework weather systems are taken and the result shows enhanced information retrieval from the integrated system.