Data Integration with the DaltOn Framework – A Case Study
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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- 3.Hull, D., Wolstencroft, K., Stevens, R., Goble, C., Pocock, M.R., Li, P., Oinn, T.: Taverna: a tool for building and running workflows of services. Nucleic Acids Research (Web Server Issue) (2006)Google Scholar
- 4.Jablonski, S., Bussler, C.: Workflow Management – Modeling Concepts, Architecture and Implementation. Intl. Thomson Computer Press, London (1996)Google Scholar
- 5.Jablonski, S., Volz, B., Rehman, M.A.: A Conceptual Modeling and Execution Framework for Process Based Scientific Applications. In: 1st Workshop on CyberInfrastructure: Information Management in eScience (CIMS), Lisboa, Portugal (2007)Google Scholar
- 6.Jablonski, S., Rehman, M.A., Volz, B., Curé, O.: Architecture of the DaltOn Data Integration System for Scientific Applications. In: Int’l Workshop on Applications of Workflows in Computational Science (AWCS), Krakow, Poland (2008)Google Scholar
- 8.Pei, M., Nakayama, K., Hara, T., Nishio, S.: Constructing a Global Ontology by Concept Mapping Using Wikipedia Thesaurus. In: 22nd International Conference on Advanced Information Networking and Applications - Workshops, 2008. AINAW 2008, pp. 1205–1210 (2008)Google Scholar
- 9.Present Weather Detector PWD11 User’s Guide, Vaisala (1997)Google Scholar
- 10.World Meteorological Organization, Manual on codes. In: WMO 1995, I.1–C,306, pp.145–147 (1995)Google Scholar
- 11.Wrzesinsky, T., Scheer, C., Klemm, O.: Fog deposition and its role in biogeochemical cycles of nutrients and pollutants. In: Matzner, E. (ed.) Ecological Studies, Biogeochemistry of forested catchments in a changing environment: a German case study, vol. 172, pp. 191–202. Springer, Heidelberg (2004)CrossRefGoogle Scholar