Contribution to a conference proceedings/Contribution to a book

FZJ-2016-01866

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Graph-based Data Integration in EUDAT Data Infrastructure

Rybicki, J. (Corresponding author)FZJ* ; Bunakov, V. ; Meo, P. D. D. ; Kindermann, S. ; Queralt, A.

2016
IARIA
ISBN: 978-1-61208-457-2

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Please use a persistent id in citations: http://hdl.handle.net/2128/9923

Abstract: European Data Infrastructure (EUDAT) is a distributed research infrastructure offering generic data management services to the research communities. The services deal with different phases of the data life cycle, some of them are tailored to account for special needs of the individual communities or replicated to increase the availability and resilience. All that leads to scattering of the large and heterogeneous data across service landscape limiting discoverability, openness, and data reuse. In this paper, we show how graph database technology can be leveraged to integrated the data across service boundaries. Such an integration will facilitate better cooperation among the researchers, improve searching and increase the openness of the infrastructure. We report on our work in progress, to show how better user experience and enhancement of the services can be achieved by using graph algorithms.

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Contributing Institute(s):

1. Jülich Supercomputing Center (JSC)

Research Program(s):

1. 512 - Data-Intensive Science and Federated Computing (POF3-512) (POF3-512)
2. EUDAT2020 - EUDAT2020 (654065) (654065)

Appears in the scientific report 2016

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Database coverage:

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