E-Science-Tage 2021
Zitierempfehlung (Kapitel)

Bensberg, Sarah und Politze, Marius: Searching Research (Meta-)Data using Semantic Web Technologies, in: Heuveline, Vincent und Bisheh, Nina (Hrsg.): E-Science-Tage 2021: Share Your Research Data, Heidelberg: heiBOOKS, 2022, p. 208-222. https://doi.org/10.11588/heibooks.979.c13730

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Dieses Werk ist unter der
Creative Commons-Lizenz 4.0
(CC BY-SA 4.0)
Creative Commons Lizenz BY-SA 4.0

Identifikatoren (Buch)
ISBN 978-3-948083-54-0 (PDF)
ISBN 978-3-948083-55-7 (Softcover)

Veröffentlicht am 21.04.2022.

Sarah Bensberg, Marius Politze

Searching Research (Meta-)Data using Semantic Web Technologies

Research data can be described with RDF based metadata following discipline specific application profiles. To make the best use of this data stocks according to the FAIR principles, users should be able to search within these metadata sets. Among different approaches it is investigated whether mapping the RDF data into a search index affects the quality of search. The evaluation indicates that approaches are either easy to use but slow or ineffective, or fast and effective but difficult to use. With the transformation of RDF data into a search index, a solution was found that combines benefits of the approaches.