• Frank Krüger

    Frank Krüger

    Prof. Dr.-Ing.
     
    Berufungsgebiet: Data Science and Machine Learning
     
    ProfessorArbeitsbereich Informatik
    ProfessorElektrotechnik und Informatik
     
    Haus 2 · Raum 204b
    Ph.-Müller-Straße · 23966 Wismar
     
    03841 753–7421
    frank.krueger@hs-wismar.de

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

  • 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, "Defining standard provenance information for clinical research data and workflows - Obstacles and opportunities", Procedings of the International Workshop on Theory and Practice of Provenance in conjunction with TheWebConf, April, 2023. accepted
  • 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. accepted
  • 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 tic Behavior Assessment from Uncontrolled Everyday Audio Recordings by Deep Learning", Research Square Platform LLC, Preprint, February 2023. preprint
  • 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