How to Cite
Bensberg, Sarah and Politze, Marius: Searching Research (Meta-)Data using Semantic Web Technologies, in Heuveline, Vincent and Bisheh, Nina (Eds.): E-Science-Tage 2021: Share Your Research Data, Heidelberg: heiBOOKS, 2022, p. 208–222. https://doi.org/10.11588/heibooks.979.c13730
License (Chapter)
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
Identifiers (Book)
ISBN 978-3-948083-54-0 (PDF)
ISBN 978-3-948083-55-7 (Softcover)
Published
04/21/2022
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.
