Special Issue "Knowledge Engineering in Industry 4.0"

A special issue of Information (ISSN 2078-2489). This special issue belongs to the section "Information Applications".

Deadline for manuscript submissions: 12 October 2021.

Special Issue Editors

Dr. Matteo Cristani
E-Mail Website
Guest Editor
Dipartimento di Informatica, Università di Verona, Strada Le Grazie 15, 37134 Verona, Italy
Interests: knowledge engineering; non monotonic reasoning; applied intelligence
Special Issues and Collections in MDPI journals
Prof. Dr. Gordan Ježić
Guest Editor
Department of Telecommunications, Faculty of Electrical Engineering and Computing, University of Zagreb, 10000 Zagreb, Croatia
Interests: multiple agent systems; communication technologies; next generation computers
Prof. Dr. Cecilia Zanni-Merk
E-Mail Website
Guest Editor
INSA Rouen, Normandie Université, LITIS, 76 000 Rouen, France
Interests: ontology-driven systems; predictive maintenance; explainable AI
Dr. Carlos Toro
Guest Editor
Vicomtech Research Centre, 20009 San Sebastian, Spain
Interests: industry 4.0; visual computing; smart factories
Dr. Claudio Tomazzoli
E-Mail Website
Guest Editor
CITERA Interdepartmental Centre, Sapienza University of Rome, 00185 Roma, Italy
Interests: energy management; smart environments; machine learning in Industry 4.0

Special Issue Information

Dear Colleagues,

Industry 4.0 has been developing as a paradigm of novel industrial revolution and has posed the base for a wider view of the development of many different and, so far, distinct segments of research in computer science and information technology. There is an increasing demand for knowledge-driven approaches to be applied in the fields of interest of the Industry 4.0 concept, for at least three basic reasons: (a) for the strong interaction between the logic/symbolic approach to knowledge engineering and the design patterns methods applied to the development of sophisticated Industry 4.0 solutions; (b) for the increasingly visible trend of integration between information technologies and artificial intelligence, so that we can talk about artificial intelligence and IoT; (c) for the strong background issues of engineering required when searching for real-world solutions to the development of novel methods in Industry 4.0.

For this reason, we have conceived this Special Issue, whose purpose is to gather the many researchers operating in the field to contribute to a collective effort in understanding the trends and future questions in the field. Topics include but are not limited to:

- Interconnection among knowledge-based components of Industry 4.0 solutions;

- Knowledge transparency;

- Interconnectivity of knowledge, software, and hardware components;

- Knowledge-driven technical assistance services on board of industrial plants;

- Knowledge-decentralized decisions;

- Knowledge components of mobile devices;

- IoT knowledge-based platforms;

- Intelligent location detection technologies;

- Intelligent smart sensors;

- Big knowledge analytics;

- Cognitive computing.

Dr. Matteo Cristani
Prof. Dr. Gordan Ježić
Prof. Dr. Cecilia Zanni-Merk
Dr. Carlos Toro
Dr. Claudio Tomazzoli
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Information is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.


  • Industry 4.0
  • Knowledge engineering
  • Cognitive robotics
  • Ambient intelligence

Published Papers (1 paper)

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SCRO: A Domain Ontology for Describing Steel Cold Rolling Processes towards Industry 4.0
Information 2021, 12(8), 304; https://doi.org/10.3390/info12080304 - 29 Jul 2021
Viewed by 398
This paper introduces the Steel Cold Rolling Ontology (SCRO) to model and capture domain knowledge of cold rolling processes and activities within a steel plant. A case study is set up that uses real-world cold rolling data sets to validate the performance and [...] Read more.
This paper introduces the Steel Cold Rolling Ontology (SCRO) to model and capture domain knowledge of cold rolling processes and activities within a steel plant. A case study is set up that uses real-world cold rolling data sets to validate the performance and functionality of SCRO. This includes using the Ontop framework to deploy virtual knowledge graphs for data access, data integration, data querying, and condition-based maintenance purposes. SCRO is evaluated using OOPS!, the ontology pitfall detection system, and feedback from domain experts from Tata Steel. Full article
(This article belongs to the Special Issue Knowledge Engineering in Industry 4.0)
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