3 research outputs found
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.Comment: International Congress on Mathematical Software (ICMS) 202
Representing Semantified Biological Assays in the Open Research Knowledge Graph
In the biotechnology and biomedical domains, recent text mining efforts
advocate for machine-interpretable, and preferably, semantified, documentation
formats of laboratory processes. This includes wet-lab protocols, (in)organic
materials synthesis reactions, genetic manipulations and procedures for faster
computer-mediated analysis and predictions. Herein, we present our work on the
representation of semantified bioassays in the Open Research Knowledge Graph
(ORKG). In particular, we describe a semantification system work-in-progress to
generate, automatically and quickly, the critical semantified bioassay data
mass needed to foster a consistent user audience to adopt the ORKG for
recording their bioassays and facilitate the organisation of research,
according to FAIR principles.Comment: In Proceedings of 'The 22nd International Conference on Asia-Pacific
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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