Abstract
It is a common characteristic of scientific applications to require the integration of information coming from multiple sources. This aspect usually confronts end-users with 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. In this paper, we present the three major conceptual architectural abstractions of the system and detail its execution. © 2008 Springer-Verlag Berlin Heidelberg.
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CITATION STYLE
Jablonski, S., Curé, O., Rehman, M. A., & Volz, B. (2008). DaltOn: An infrastructure for scientific data management. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5103 LNCS, pp. 520–529). https://doi.org/10.1007/978-3-540-69389-5_59
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