Architecture of the DaltOn Data Integration System for Scientific Applications
It is a common characteristic of scientific applications to require the integration of information coming from multiple sources. This aspect usually confronts end-users to data management issues which involve the transport 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.
|Conference:||3rd International Workshop on Workflow Systems in e-Science (WSES 08), in conjunction with 8th IEEE International Symposium on Cluster Computing and the Grid, May 2008, Lyon, France|