| title: |
| Investigating the role of software in science by automatic knowledge graph construction
through natural language processing |
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| contributing persons: |
|
| contributing corporate bodies: |
| Universität Rostock[Grad-verleihende Institution] |
 |
38329-6 |
| Universität Rostock. Fakultät für Informatik und Elektrotechnik[Grad-verleihende Institution] |
|
10085032-7 |
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| |
| 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.
[English] |
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| document type: |
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| institution: |
| Faculty of Computer Science and Electrical Engineering |
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| language: |
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| subject class (DDC): |
| 004 Data processing Computer sciences |
| 020 Library & information sciences |
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| extent: |
|
1 Online-Ressource (215 Seiten)
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publication /
production: |
Rostock
|
Rostock: Universität Rostock
|
|
2024
|
|
| statement of responsibility: |
| vorgelegt von David Schindler |
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| |
| identifiers: |
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| access condition: |
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| license/rights statement: |
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| RosDok id: |
rosdok_disshab_0000003250 |
| created / modified: |
09.05.2025 / 09.05.2025
|
| metadata license: |
The metadata of this document was dedicated to the public domain
(CC0 1.0 Universal Public Domain Dedication). |
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