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Persistent URL
http://purl.org/net/epubs/work/24856558
Record Status
Checked
Record Id
24856558
Title
Graph-based data integration in EUDAT data infrastructure
Contributors
J Rybicki
,
V Bunakov (STFC Rutherford Appleton Lab.)
,
P D’Onorio De Meo
,
S Kindermann
,
A Queralt
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.
Organisation
STFC
,
SCI-COMP
Keywords
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Language
English (EN)
Type
Details
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Year
Paper In Conference Proceedings
In 2nd International Conference on Big Data, Small Data, Linked Data and Open Data (ALLDATA 2016), Lisbon, Portugal, 21-25 Feb 2016, (2016): 54-58.
http://www.thinkm…data_2016_3_30_90071
2016
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