Steps towards Bridging the HPC and Computational Science Talent Gap Based on Ontology Engineering Methods | Zendy

Светлана Чуприна | Zendy

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Steps towards Bridging the HPC and Computational Science Talent Gap Based on Ontology Engineering Methods

Author(s) -

Светлана Чуприна

Publication year - 2015

Publication title -

procedia computer science

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.334

H-Index - 76

ISSN - 1877-0509

DOI - 10.1016/j.procs.2015.05.308

Subject(s) - bridging (networking) , computer science , ontology , big data , field (mathematics) , computational thinking , computational science and engineering , data science , computational science , artificial intelligence , data mining , philosophy , mathematics , computer network , epistemology , pure mathematics

The paper describes an ontology-based methods and framework for design of learning courses covering the HPC and Big Data areas and how to include these into Computational Science training within the remit of existing courses of Master Programme entitled “Applied Mathematics and Computer Science” (Faculty of Mechanics and Mathematics, Perm State University, Russia). It helped bringing together the university and IT-companies around a real industry projects in the field of Big Data with active participation of master's students. In this paper, the visual tools and ontology-based methods for computer-supported collaborative learning environment will be also presented

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