What is it about?
The paper investigates the Open Research Knowledge Graph (ORKG) as medium to facilitate such knowledge transfer in the context of Control Theory, which is an interdisciplinary academic domain which contains sophisticated elements from various sub-domains of both mathematics and engineering. In particular the paper investigates the current state of control theoretic knowledge represented in the ORKG and describes the process of extending that knowledge as well as the observed challenges thereby. The main results are a) a list of best practice suggestions for the ORKG contributions and b) a list of improvement suggestions for the further development of the ORKG and similar platforms. All relevant claims w.r.t. the ORKG are backed by SPARQL queries and some further evaluation code, both publicly available for the sake of reproducibility.
Featured Image
Photo by Steve Harvey on Unsplash
Why is it important?
Due to the heterogeneity of methods and applications of Control Theory the issue of knowledge transfer poses a considerable challenge w.r.t. transfer between researchers focusing on different niches as well as w.r.t. transfer into potential application domains. The paper investigates the Open Research Knowledge Graph (ORKG) as medium to facilitate such knowledge transfer.
Perspectives
This paper aims foster formal knowledge representation in engineering and especially in control engineering. The taken approach is to analyze what is already available, to perform (experimental) extensions and document the observations and (subjective) conclusions.
Carsten Knoll
TU Dresden
Read the Original
This page is a summary of: Examining the ORKG towards Representation of Control Theoretic Knowledge – Preliminary Experiences and Conclusions, April 2022, ACM (Association for Computing Machinery),
DOI: 10.1145/3487553.3524661.
You can read the full text:
Contributors
The following have contributed to this page
