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M.Sc. David Schindler

David Schindler
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0381/498-7317
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0381/498-7302
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Doctoral Researcher for Textmining in Research Data Management in CRC ELAINE
Research Group Signal Theory and Digital Signal Processing

Curriculum Vitae

  • 2013 - 2017 B.Sc Computer Science, University of Tübingen, Tübingen
  • 2017 - 2019 M.Sc Computer Science, University of Rostock, Rostock
  • since 2019 Doctoral Researcher at the Institute of Communications Engineering, University of Rostock

Download CV as pdf

Research Interests

  • Provenance Modeling
  • Text Mining
  • Natural Language Processing

Publications

Zeitschriftenartikel:

1.
Schindler, D.; Bensmann, F.; Dietze, S.; Krüger, F.:
The role of software in science: a knowledge graph-based analysis of software mentions in PubMed Central. In: PeerJ Computer Science, Bd. 8 (1/2022)
doi:10.7717/peerj-cs.835
2.
Krüger, F.; Schindler, D.:
A Literature Review on Methods for the Extraction of Usage Statements of Software and Data. In: Computing in Science & Engineering, Bd. 22, Nr. 1 (1/2020), S. 26-38
doi:10.1109/MCSE.2019.2943847

Beiträge zu Sammlungen:

3.
Schindler, D.; Zapilko, B.; Krüger, F.:
Investigating Software Usage in the Social Sciences: A Knowledge Graph Approach. The Semantic Web. Nr. 12123, S. 271-286, Heraklion, Greece, Springer International Publishing, 2020
ISBN: 978-3-030-49461-2, doi:10.1007/978-3-030-49461-2_16

Konferenzbeiträge:

4.
Schindler, D.; Bensmann, F.; Dietze, S.; Krüger, F.:
SoMeSci - A 5 Star Open Data Gold Standard Knowledge Graph of Software Mentions in Scientific Articles. Proceedings of the 30th ACM International Conference on Information and Knowledge Management (CIKM '21), Virtual Event, QLD, Australia, 2021
5.
Schindler, D.; Yordanova, K.; Krüger, F.:
An annotation scheme for references to research artefacts in scientific publications. Proceedings of the 3rd International Workshop on Annotation of useR Data for UbiquitOUs Systems (ARDUOUS'19), Kyoto, Japan, 2019