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: closed (20 November 2021) | Viewed by 18653
Special Issue Editors
Interests: artificial intelligence; knowledge representation; machine learning; multi-agent systems
Special Issues, Collections and Topics in MDPI journals
Interests: multiple agent systems; communication technologies; next generation computers
Interests: knowledge engineering; conceptualisation; ontologies and knowledge graphs; rule-based reasoning (crisp, fuzzy, probabilistic, spatio-temporal); case-based reasoning; knowledge and experience capitalisation; semantic web tech-nologies; explainability
Special Issues, Collections and Topics in MDPI journals
Interests: industry 4.0; visual computing; smart factories
Interests: artificial intelligence; knowledge representation; machine learning; multi-agent systems
Special Issues, Collections and Topics in MDPI journals
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
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Keywords
- Industry 4.0
- Knowledge engineering
- Cognitive robotics
- Ambient intelligence
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