Investigating the role of software in science by automatic knowledge graph construction through natural language processing Schindler, David , 1994- (VerfasserIn) Spors, Sascha Michael , 1972- (AkademischeR BetreuerIn) Krüger, Frank , 1980- (AkademischeR BetreuerIn) Dietze, Stefan , 1978- (AkademischeR BetreuerIn) Universität Rostock (Grad-verleihende Institution) Universität Rostock Fakultät für Informatik und Elektrotechnik (Grad-verleihende Institution) Text theses Text Hochschulschrift 2024 2024 eng ger electronic resourceremoteComputermedienOnline-Ressourceapplication/pdf1 Online-Ressource (215 Seiten) Illustrationen, Diagramme This thesis develops a method to systematically analyze software in scientific publications based on an automatic information extraction pipeline applied at a large scale. Software has become increasingly important in data-driven research and plays an integral role in today's science. Knowledge of how software is applied in scientific investigations is essential to the scientific community. However, knowledge of software application in research is sparse, with a majority of information on software usage being informally described in the textual descriptions of scientific research.<eng> Open Access Namensnennung 4.0 International vorgelegt von David Schindler GutachterInnen: Sascha Spors (Universität Rostock) ; Frank Krüger (Hochschule Wismar) ; Stefan Dietze (Heinrich-Heine-Universität Düsseldorf) Dissertation Universität Rostock 2024 004 020 005.1 004 https://purl.uni-rostock.de/rosdok/id00004777 https://doi.org/10.18453/rosdok_id00004777 https://nbn-resolving.org/urn:nbn:de:gbv:28-rosdok_id00004777-1 https://d-nb.info/136541244X/34 Investigating the role of software in science by automatic knowledge graph construction through natural language processing--(DE-627)1925265846 urn:nbn:de:gbv:28-rosdok_id00004777-1 doi: 10.18453/rosdok_id00004777 oclc: 1518949969 ppn: (DE-627)1925264742