Treffer: Investigating the role of software in science by automatic knowledge graph construction through natural language processing
Title:
Investigating the role of software in science by automatic knowledge graph construction through natural language processing
Authors:
Contributors:
Spors, Sascha Michael (gnd: 131484761) AkademischeR BetreuerIn, Krüger, Frank (gnd: 1079875972) AkademischeR BetreuerIn, Dietze, Stefan (gnd: 129756024) AkademischeR BetreuerIn, Universität Rostock (gnd: 38329-6) Grad-verleihende Institution, Universität Rostock. Fakultät für Informatik und Elektrotechnik (gnd: 10085032-7) Grad-verleihende Institution
Publisher Information:
Universität Rostock Rostock
Publication Year:
2024
Collection:
Rostock University: RosDok - Rostocker Dokumentenserver
Document Type:
Dissertation
doctoral or postdoctoral thesis
Language:
unknown
DOI:
10.18453/rosdok_id00004777
Availability:
Rights:
CC BY 4.0 ; open access
Accession Number:
edsbas.F0DC5D2A
Database:
BASE
Weitere Informationen
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.