@Book{1925264742,
author="Schindler, David",
title="Investigating the role of software in science by automatic knowledge graph construction through natural language processing",
year="2024",
address="Rostock",
abstract="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>",
school="Universit{\"a}t Rostock",
note="vorgelegt von David Schindler",
note="GutachterInnen: Sascha Spors (Universit{\"a}t Rostock) ; Frank Kr{\"u}ger (Hochschule Wismar) ; Stefan Dietze (Heinrich-Heine-Universit{\"a}t D{\"u}sseldorf)",
note="Dissertation Universit{\"a}t Rostock 2024",
doi="10.18453/rosdok_id00004777",
url="https://purl.uni-rostock.de/rosdok/id00004777",
url="https://nbn-resolving.org/urn:nbn:de:gbv:28-rosdok_id00004777-1",
url="https://d-nb.info/136541244X/34",
url="https://doi.org/10.18453/rosdok_id00004777",
language="English"
}