research-article

Examining the ORKG towards Representation of Control Theoretic Knowledge – Preliminary Experiences and Conclusions

Author:

Carsten KnollAuthors Info & Claims

WWW '22: Companion Proceedings of the Web Conference 2022

Pages 810 - 817

https://doi.org/10.1145/3487553.3524661

Published: 16 August 2022 Publication History

Abstract

Control theory is an interdisciplinary academic domain which contains sophisticated elements from various sub-domains of both mathematics and engineering. The issue of knowledge transfer thus 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. In particular it 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.

References

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Sören Auer. 2018. Towards an Open Research Knowledge Graph. https://doi.org/10.5281/zenodo.1157185

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Sören Auer, Allard Oelen, Muhammad Haris, Markus Stocker, Jennifer D’Souza, Kheir Eddine Farfar, Lars Vogt, Manuel Prinz, Vitalis Wiens, and Mohamad Yaser Jaradeh. 2020. Improving Access to Scientific Literature with Knowledge Graphs. Bibliothek Forschung und Praxis 44, 3 (2020), 516–529. https://doi.org/

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Dennis S. Bernstein. 2009. Matrix Mathematics: Theory, Facts, and Formulas with Application to Linear Systems Theory (2.ed.). Princeton University Press, Princeton, NJ.

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Knut Graichen, Michael Treuer, and Michael Zeitz. 2007. Swing-up of the double pendulum on a cart by feedforward and feedback control with experimental validation. Automatica 43, 1 (2007), 63–71.

Digital Library

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Mohamad Yaser Jaradeh, Allard Oelen, Kheir Eddine Farfar, Manuel Prinz, Jennifer D’Souza, Gábor Kismihók, Markus Stocker, and Sören Auer. 2019. Open research knowledge graph: next generation infrastructure for semantic scholarly knowledge. In Proceedings of the 10th International Conference on Knowledge Capture. 243–246.

Digital Library

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Carsten Knoll. 2022. Ontology of Control Systems Engineering (OCSE) –- Source Repository on GitHub. https://github.com/ackrep-org/ocse

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Carsten Knoll. 2022. ORKG Interaction –- Source Repository on GitHub. https://github.com/ackrep-org/orkg-interaction

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Carsten Knoll and Robert Heedt. 2020. Automatic Control Knowledge Repository –- A Computational Approach for Simpler and More Robust Reproducibility of Results in Control Theory. In Proc. of the 24th International Conference on System Theory, Control and Computing. IEEE, Sinaia.

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Carsten Knoll and R. Heedt. 2021. Methodnet: Formal Semantic Representations of Methods in Automatic Control. (2021). https://doi.org/10.13140/RG.2.2.23033.54880 submitted to the Journal of Open Research Software (JORS).

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Carsten Knoll and Robert Heedt. 2021. Tool-based Support for the FAIR Principles for Control Theoretic Results: The’Automatic Control Knowledge Repository’. SYSTEM THEORY, CONTROL AND COMPUTING JOURNAL 1, 1 (2021), 56–67.

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Carsten Knoll and Klaus Röbenack. 2012. Generation of stable limit cycles with prescribed frequency and amplitude via polynomial feedback. In Proc. of the 9th International Multi-Conference on Systems, Signals and Devices.

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Jean Lévine. 2011. On necessary and sufficient conditions for differential flatness. Applicable Algebra in Engineering, Communication and Computing 22, 1(2011), 47–90. https://doi.org/10.1007/s00200-010-0137-x

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Mohamed W. Mehrez, Karl Worthmann, George K.I. Mann, Raymond G. Gosine, and Timm Faulwasser. 2017. Predictive Path Following of Mobile Robots without Terminal Stabilizing Constraints. IFAC-PapersOnLine 50, 1 (2017), 9852–9857. https://doi.org/10.1016/j.ifacol.2017.08.907 20th IFAC World Congress.

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Max Pritzkoleit, Carsten Knoll, and Klaus Röbenack. 2020. Reinforcement Learning and Trajectory Planning based on Model Approximation with Neural Networks applied to Transition Problems. In Proc. of the 21st IFAC World Congress. IFAC, Berlin.

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Luciana B Sollaci and Mauricio G Pereira. 2004. The introduction, methods, results, and discussion (IMRAD) structure: a fifty-year survey. Journal of the medical library association 92, 3 (2004), 364.

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Wikidata contributors. 2022. Q6501221 (control theory). https://www.wikidata.org/w/index.php?title=Q6501221&oldid=1570849991 [Online; accessed 31-January-2022].

Cited By

Knoll CFiedler JEcklebe S(2024)Imperative Formal Knowledge Representation for Control Engineering: Examples from Lyapunov TheoryMachines10.3390/machines1203018112:3(181)Online publication date: 8-Mar-2024
https://doi.org/10.3390/machines12030181
Fiedler JKnoll C(2023)Catalog of Dynamical System Models with Semantic MetadataPAMM10.1002/pamm.20230004923:2Online publication date: 10-Sep-2023
https://doi.org/10.1002/pamm.202300049

Index Terms

Examining the ORKG towards Representation of Control Theoretic Knowledge – Preliminary Experiences and Conclusions
1. Computing methodologies
  1. Artificial intelligence
    1. Knowledge representation and reasoning
2. Information systems
  1. World Wide Web
    1. Web data description languages
      1. Semantic web description languages

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Published In

cover image ACM Conferences

WWW '22: Companion Proceedings of the Web Conference 2022

April 2022

1338 pages

ISBN:9781450391306

DOI:10.1145/3487553

Editors:
Frédérique Laforest
INSA Lyon, France
,
Raphaël Troncy
EURECOM, France
,
Lionel Médini
Université Lyon 1, France
,
Ivan Herman
W3C / retired

Copyright © 2022 ACM.

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Publication History

Published: 16 August 2022

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April 25 - 29, 2022

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Cited By

Knoll CFiedler JEcklebe S(2024)Imperative Formal Knowledge Representation for Control Engineering: Examples from Lyapunov TheoryMachines10.3390/machines1203018112:3(181)Online publication date: 8-Mar-2024
https://doi.org/10.3390/machines12030181
Fiedler JKnoll C(2023)Catalog of Dynamical System Models with Semantic MetadataPAMM10.1002/pamm.20230004923:2Online publication date: 10-Sep-2023
https://doi.org/10.1002/pamm.202300049

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