Abstract
Presented paper describes the development of comprehensive approach for knowledge processing within e-Science tasks. Considering the task solving within a simulation-driven approach a set of knowledge-based procedures for task definition and composite application processing can be identified. These procedures could be supported by the use of domain-specific knowledge being formalized and used for automation purpose. Within this work the developed conceptual and technological knowledge-based toolbox for complex multidisciplinary task solving support is proposed. Using CLAVIRE cloud computing environment as a core platform a set of interconnected expressive technologies was developed.
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Acknowledgements
This work is supported by the projects “Technology of system-level design and development of inter-disciplinary applications within cloud computing environment” (agreement 14.B37.21.1,870), “Virtual testbed for complex system supercomputing simulation” (agreement 14.B37.21.0596) granted from the Ministry of Education and Science of the Russian Federation and project “Urgent Distributed Computing for Time-Critical Emergency Decision Support” performed under Decree 220 of Government of the Russian Federation.
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Kovalchuk, S.V., Smirnov, P.A., Knyazkov, K.V., Zagarskikh, A.S., Boukhanovsky, A.V. (2014). Knowledge-Based Expressive Technologies Within Cloud Computing Environments. In: Wen, Z., Li, T. (eds) Practical Applications of Intelligent Systems. Advances in Intelligent Systems and Computing, vol 279. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-54927-4_1
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DOI: https://doi.org/10.1007/978-3-642-54927-4_1
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