Implementing Conceptual Data Integration in Process Modeling Methodologies for Scientific Applications

摘要

Process management is a widely applied methodology for describing and solving complex application scenarios. Also process management is emerging in scientific domains (Scientific Workflows). Scientific domains are characterized by demanding data integration tasks where data have to be integrated stemming from heterogeneous sources. With respect to the importance of data integration many process modeling methodologies do not provide appropriate conceptual paradigms for specifying and enacting these kinds of tasks. Instead data integration is often treated as a normal work step within the flow of actions. However, this makes it difficult to cope with this data integration in a clean conceptual way. In this paper we will thus demonstrate how data integration tasks can be integrated in a process modeling language on a conceptual level using the Perspective Oriented Process Modeling approach and DaltOn, a framework for data transportation and semantic integration based on ontologies. We will further argue that data integration does not only affect data but instead is a more cross-cutting concern that has a certain impact on the definition of other building blocks of processes such as the operational and organizational perspective.