Sören Auer
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Sören Auer has a total of 11 co-authors. Here are the top co-authors by number of shared publications:
- Andreas Ekelhart
SBA Research, Austria
1 shared publication - Anna Breit
Semantic Web Company, Austria
1 shared publication - Artem Revenko
Semantic Web Company, Vienna, Austria
1 shared publication - Fajar Juang Ekaputra
Vienna University of Economics and Business
1 shared publication - Heiko Paulheim
University of Mannheim
1 shared publication - Kheir Eddine Farfar
TIB Leibniz Information Centre for Science and Technology
1 shared publication
Latest Publications
- 22 May 2023
- Published by Springer Nature
- p. 372-389
Describing and Organizing Semantic Web and Machine Learning Systems in the SWeMLS-KG
- 22 May 2023
- Published by Springer Nature
- p. 372-389
Describing and Organizing Semantic Web and Machine Learning Systems in the SWeMLS-KG
- 6 June 2020
- Vol. 12097, 327-334
Operational Research Literature as a Use Case for the Open Research Knowledge Graph
The Open Research Knowledge Graph (ORKG) provides machine-actionable access to scholarly literature that habitually is written in prose. Following the FAIR principles, the ORKG makes traditional, human-coded knowledge findable, accessible, interoperable, and reusable in a structured manner in accordance with the Linked Open Data paradigm. At the moment, in ORKG papers are described manually, but in the long run the semantic depth of the literature at scale needs automation. Operational Research is a suitable test case for this vision because the mathematical field and, hence, its publication habits are highly structured: A mundane problem is formulated as a mathematical model, solved or approximated numerically, and evaluated systematically. We study the existing literature with respect to the Assembly Line Balancing Problem and derive a semantic description in accordance with the ORKG. Eventually, selected papers are ingested to test the semantic description and refine it further.
- 6 June 2020
- Vol. 12097, 327-334
Operational Research Literature as a Use Case for the Open Research Knowledge Graph
The Open Research Knowledge Graph (ORKG) provides machine-actionable access to scholarly literature that habitually is written in prose. Following the FAIR principles, the ORKG makes traditional, human-coded knowledge findable, accessible, interoperable, and reusable in a structured manner in accordance with the Linked Open Data paradigm. At the moment, in ORKG papers are described manually, but in the long run the semantic depth of the literature at scale needs automation. Operational Research is a suitable test case for this vision because the mathematical field and, hence, its publication habits are highly structured: A mundane problem is formulated as a mathematical model, solved or approximated numerically, and evaluated systematically. We study the existing literature with respect to the Assembly Line Balancing Problem and derive a semantic description in accordance with the ORKG. Eventually, selected papers are ingested to test the semantic description and refine it further.