Special Issue "Knowledge Engineering in Industry 4.0"
Deadline for manuscript submissions: 12 October 2021.
Interests: multiple agent systems; communication technologies; next generation computers
Interests: ontology-driven systems; predictive maintenance; explainable AI
Interests: industry 4.0; visual computing; smart factories
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
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