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- W1570702760 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.KeywordsData IntegrationConfiguration FileSemantic IntegrationConfiguration DataReference OntologyThese keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves." @default.
- W1570702760 created "2016-06-24" @default.
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- W1570702760 date "2009-01-01" @default.
- W1570702760 modified "2023-10-18" @default.
- W1570702760 title "Data Integration with the DaltOn Framework – A Case Study" @default.
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- W1570702760 doi "https://doi.org/10.1007/978-3-642-02279-1_19" @default.
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