Data exchange between multiple sources in scientific applications poses significant data management issues which involve the transportation of data from one system to another as well as the syntactic and semantic integration of data, i.e. data come in different formats and have different meanings. In order to deal with these issues in a systematic and well structured way, we propose a sophisticated framework based on process modeling.
['Stefan Jablonski', 'Olivier Curé', 'M.A. Rehman', 'B. Volz']
Architecture of the DaltOn Data Integration System for Scientific Applications