• Frank Krüger

    Frank Krüger

    Prof. Dr.-Ing.
     
    Field of designation: Data Science and Machine Learning
     
    ProfessorArbeitsbereich Informatik
    ProfessorElektrotechnik und Informatik
     
    Building 2 · Room 204b
    Ph.-Müller-Straße · 23966 Wismar
     

Arbeitsbereich

Informatik

Stud.IP
Dokumente
Veranstaltungen
Termine

Meine Forschungsinteressen umfassen Data Science, Natural Language Processing und Forschungsdatenmanagement. Meine Arbeit konzentriert sich auf Methoden für das Informations- und Datenmanagement unter Verwendung von Techniken der natürlichen Sprachverarbeitung und des Data Mining in verschiedenen Disziplinen wie den Lebens-, Natur- und Informationswissenschaften, aber auch den Digital Humanities und der Theologie.

Ausgewählte neue Publikationen

2023

  • David Schindler, Erjia Yan, Sascha Spors and Frank Krüger, "Retracted articles use less free and open-source software and cite it worse". Quantitative Science Studies. November 2023 10.1162/qss_a_00275  codedata
  • David Schindler, Tazin Hossain, Sascha Spors and Frank Krüger "A multi-level analysis of data quality for formal software citation", Arxiv, July 2023. preprint
  • Max Schröder and Sascha Genehr and Rüdiger Köhling and Stefan Schmidt and Ralf Schneider and Sascha Spors and Gero Szepannek and Dagmar Waltemath and Frank Krüger, "A survey on the current status of Research Data Management in Mecklenburg-Vorpommern: Preliminary results for a questionnaire study among researchers" in Proceedings of the 1st Conference on Research Data Infrastructure (CoRDI), Karlsruhe, Germany, September 2023. 10.52825/cordi.v1i.303data
  • Sascha Genehr, Meike Bielfeldt, Max Schröder, Susanne Stählke, Barbara Nebe, Sascha Spors and Frank Krüger, “Modelling three dimensions of provenance for wet-lab experiments: prospective, retrospective, and evolution,” in Proceedings of 3rd Workshop on Metadata and Research (objects) Management for Linked Open Science in conjunction with the Extended Semantic Web Conference, Hersonissos, Greece, May 2023. 10.4126/FRL01-006444990data
  • Kerstin Gierend, Judith A.H. Wodke, Sascha Genehr, Robert Gött, Ron Henkel, Frank Krüger, Markus Mandalka, Lea Michaelis, Alexander Scheuerlein, Max Schröder, Atinkut Zeleke and Dagmar Waltemath, "TAPP: Defining standard provenance information for clinical research data and workflows - Obstacles and opportunities", Companion Proceedings of the {ACM} Web Conference 2023, April, 2023. 10.1145/3543873.3587562
  • David Schindler, Erjia Yan, Sascha Spors and Frank Krüger, “Software use in retracted papers” in Proceedings of the 19th International Conference on Scientometrics & Informetrics (ISSI), Bloomington, Indiana, USA, July. 2023. abstract
  • Kerstin Gierend, Frank Krüger, Sascha Genehr, Francisca Hartmann, Fabian Siegel, Dagmar Waltemath, Thomas Ganslandt, Atinkut Alamirrew Zeleke, "Capturing provenance information for biomedical data and workflows: A scoping review", Research Square Platform LLC, Preprint, February 2023. preprint

-2022

  • David Schindler, Sascha Spors, Burcu Demiray, and Frank Krüger. "Automatic Behavior Assessment from Uncontrolled Everyday Audio Recordings by Deep Learning" Sensors 22, no. 22: 8617. November, 2022. 10.3390/s22228617
  • Max Schröder, Susanne Staehlke, Paul Groth, J. Barbara Nebe, Sascha Spors, Frank Krüger, "Structure-based knowledge acquisition from electronic lab notebooks for researchdata provenance documentation", Journal of Biomedical Semantics, vol. 13, January, 2022. 10.1186/s13326-021-00257-x  code  data
  • David Schindler, Felix Bensmann, Stefan Dietze, Frank Krüger, "The role of software in science: a knowledge graph-based analysis of software mentions in PubMed Central", PeerJ Computer Science, vol. 8, pp. e835, January, 2022. 10.7717/peerj-cs.835  code  data  web 
  • David Schindler, Felix Bensmann, Stefan Dietze, Frank Krüger, "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), November1--5, 2021. 10.1145/3459637.3482017  preprint  code  data  web 
  • David Schindler, Benjamin Zapilko, Frank Krüger, "Investigating Software Usage in the Social Sciences: A Knowledge Graph Approach", The Semantic Web, no. 12123, pp. 271–286, May, 2020. 10.1007/978-3-030-49461-2_16  preprint  data  code  web 

 

Vollständige Liste

Lehre

  • Software Engineering: Einführung in die Methoden der Softwareentwicklung, SS 2023
  • Machine Learning / Wissensextraktion, SS 2023
  • Wissensbasierte Systeme: Wissensrepräsentation und Wissensgraphen, WS 2022/23
  • Künstliche Intelligenz: Wissensrepräsentation und automatisches Problemlösen, WS 2022/23