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ThinkMind // ALLDATA 2016, The Second International Conference on Big Data, Small Data, Linked Data and Open Data // View article alldata_2016_3_30_90071


Graph-based Data Integration in EUDAT Data Infrastructure

Authors:
Jedrzej Rybicki
Vasily Bunakov
Paolo D'Onorio De Meo
Stephan Kindermann
Anna Queralt

Keywords: Data Integration; Graph Databases; Designing for Open Data; Linked Data

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.

Pages: 54 to 58

Copyright: Copyright (c) IARIA, 2016

Publication date: February 21, 2016

Published in: conference

ISSN: 2519-8386

ISBN: 978-1-61208-457-2

Location: Lisbon, Portugal

Dates: from February 21, 2016 to February 25, 2016

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