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Data-intensive applications in e-Science require scalable solutions for storage as well as interactive tools for analysis of scientific data. It is important to be able to query the data in a storage-independent way, and to be able to obtain the results of the data-analysis incrementally (in contrast to traditional batch solutions). We use the RDF data model extended with multidimensional numeric arrays to represent the results, parameters, and other metadata describing scientific experiments,doi:10.1109/escience.2013.19 dblp:conf/eScience/AndrejevTHHR13 fatcat:4mk4u4vyyrcqxiungjbfqnv67y