Service and model-driven dynamic integration of health data
Proceedings of the first international workshop on Managing interoperability and complexity in health systems
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Information integration has been an important area of research for many years, and the problem of integration of geographic data has recently emerged and is an important content of geography information science researches. The traditional spatial data integration mainly pays attention to transformation between data files’ form, the vector and the grid data, the different scale and the automatic synthesis. The flaws of these integrated methods cannot effectively integrate the semantics of the different geography space data, thus has brought the information acquisition and the information understanding gap for integrated data sharing and the use. Ontology is an explicit specification of conceptualization. It may effectively integrate the geography space data and its semantics, and may overcome the flaw that the traditional space data integration method is unable to overcome. This article based on the ontology theory, the method and in the applied research around domestic and foreign geography information academic presented ontology-driven geographic data set integration’s framework, and carried on the confirmation explanation by the concrete example.