Intelligent dataspaces for e-science

Authors:
Ibrahim Elsayed;Adnan Muslimovic;Peter Brezany
Affiliations:
University of Vienna, Department of Scientific Computing, Vienna, Austria;University of Vienna, Department of Scientific Computing, Vienna, Austria;University of Vienna, Department of Scientific Computing, Vienna, Austria
Venue:
CIMMACS'08 Proceedings of the 7th WSEAS international conference on Computational intelligence, man-machine systems and cybernetics
Year:
2008

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Abstract

This work focuses its effort on dataspaces and workflow management, two complementary technologies, which, if applied in conjunction, can provide a highly efficient and powerful scientific data management solution for e-Infrastructures. Key contributions are: (1) a hierarchical and iterative metamodel providing a life cycle view of scientific data showing what ideally should happen to data in e-Infrastructures is presented generally and by the means of two pilot application. (2) An ontology based dataspace model with strong regard on the key dataspace concept - managing relationships among participants - is developed, providing intelligent creation, representation, and searching of semantically rich relationships among primary and derived data sets in e-Science applications. (3) The concept of dataspaces is extended to support the data life cycle in e-Science experiments. At first, supported by the ontology, an e-Science application independent metamodel is set up, which is then applied to describe application-specific e-Science experiments. This profound knowledge about e-Science life cycles, consolidated within instances of the ontology will highly contribute to the development of high productivity e-Science frameworks.