Abstract
Data integration has gained a great attention in current scientific applications due to the increasingly high volume of heterogeneous data and proliferation of diverse data generating devices such as sensors. Recently evolved workflow systems contributed a lot towards scientific data integration by exploiting ontologies. Even though they offer good means for modeling computational workflows, they were proved not to be sufficiently strong in addressing data related issues in a transparent and structured manner. The DaltOn system improves the productivity of scientists by providing a framework which copes with these issues in a transparent and well structured manner. In this paper we will elaborate its application in a real world scenario taken from meteorological research where data are retrieved from a sensor network and are integrated into a central scientific database.
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Jablonski, S., Volz, B., Rehman, M.A., Archner, O., Curé, O. (2009). Data Integration with the DaltOn Framework – A Case Study. In: Winslett, M. (eds) Scientific and Statistical Database Management. SSDBM 2009. Lecture Notes in Computer Science, vol 5566. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02279-1_19
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DOI: https://doi.org/10.1007/978-3-642-02279-1_19
Publisher Name: Springer, Berlin, Heidelberg
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