Semantics in Dataspaces: Origin and Future Directions
ACM Web Conference (WWW), pp. 1504–1507
Abstract
The term dataspace was coined two decades ago [12] and has evolved since then. Definitions range from (i) an abstraction for data management in an identifiable scope [15] over (iii) a multi-sided data platform connecting participants in an ecosystem [21] to (iii) interlinking data towards loosely connected (global) information [17]. Many implementations and scientific notions follow different interpretations of the term dataspace, but agree on some use of semantic technologies. For example, dataspaces such as the European Open Science Cloud and the German National Research Data Infrastructure are committed to applying the FAIR principles [11, 16]. Dataspaces built on top of Gaia-X are using semantic methods for service Self-Descriptions [13]. This paper investigates ongoing dataspace efforts and aims to provide insights on the definition of the term dataspace, the usage of semantics and FAIR principles, and future directions for the role of semantics in dataspaces.
Authors 7
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RWTH Aachen University · Fraunhofer Institute for Applied Information Technology
Affiliation as printed
RWTH Aachen University, Germany and Fraunhofer Institute for Applied Information Technology FIT, Germany
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Max Kocher Aachen
Affiliation as printed
RWTH Aachen University, Germany
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RWTH Aachen University · Fraunhofer Institute for Applied Information Technology
Affiliation as printed
RWTH Aachen University, Germany and Fraunhofer Institute for Applied Information Technology FIT, Germany
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RWTH Aachen University · Fraunhofer Institute for Applied Information Technology
Affiliation as printed
RWTH Aachen University, Germany and Fraunhofer Institute for Applied Information Technology FIT, Germany
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Affiliation as printed
University of Wuppertal, Germany
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Affiliation as printed
University of Wuppertal, Germany
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Ollscoil na Gaillimhe – University of Galway
Affiliation as printed
University of Galway, Ireland
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