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Using Semantic Web Technologies to Query and Manage Information within Federated Cyber-Infrastructures

1,2,*,†,‡, 3,†, 4,†, 3,5,†, 4,† and 6,†
Fraunhofer FOKUS, 10589 Berlin, Germany
Next Generation Networks Department, Technische Universität Berlin, 10587 Berlin, Germany
School of Electrical and Computer Engineering, National Technical University of Athens, Zografou, Athens 15780, Greece
Informatics Institute, University of Amsterdam, 1098 XH Amsterdam, The Netherlands
Institute for Systems Research, University of Maryland, College Park, MD 20742, USA
Renaissance Computing Institute (RENCI), University of North Carolina at Chapel Hill, Chapel Hill, NC 27517, USA
Author to whom correspondence should be addressed.
These authors contributed equally to this work.
Current address: Kaiserin-Augusta-Allee 31, 10589 Berlin, Germany.
Received: 29 March 2017 / Revised: 10 June 2017 / Accepted: 10 June 2017 / Published: 23 June 2017
PDF [920 KB, uploaded 27 June 2017]


A standardized descriptive ontology supports efficient querying and manipulation of data from heterogeneous sources across boundaries of distributed infrastructures, particularly in federated environments. In this article, we present the Open-Multinet (OMN) set of ontologies, which were designed specifically for this purpose as well as to support management of life-cycles of infrastructure resources. We present their initial application in Future Internet testbeds, their use for representing and requesting available resources, and our experimental performance evaluation of the ontologies in terms of querying and translation times. Our results highlight the value and applicability of Semantic Web technologies in managing resources of federated cyber-infrastructures. View Full-Text
Keywords: Semantic Web; federated infrastructures; RDF; OWL; SPARQL Semantic Web; federated infrastructures; RDF; OWL; SPARQL

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Willner, A.; Giatili, M.; Grosso, P.; Papagianni, C.; Morsey, M.; Baldin, I. Using Semantic Web Technologies to Query and Manage Information within Federated Cyber-Infrastructures. Data 2017, 2, 21.

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