Ontology-Based Platform for Sharing Knowledge on Industry 4.0

Abstract

Industry is currently undergoing a digital transformation for strengthening its competitiveness through the convergence between industrial automation and data exchange technologies. This trend exploits a multiplicity of technologies from Cyber Physical Systems and intelligent robotics to PLM and big data management, in order to transform the manufacturing systems in a network of smart and autonomous agents. Even if most of the technologies are already available nowadays, the key obstacle lies in the lack of experience in operating with such technologies. To develop the required skills, different strategies for learning should be adopted. The paper describes the first outcomes of TIPHYS (http://www.tiphys.eu/), an EU funded project for the development of 'social network based doctoral education on Industry 4.0'. The project organizes the learning material as small didactic elements that are accessed through an ontology-based platform. PLM concepts are applied to allow learners to customize their learning path, to provide them with a dynamic repository, whose content evolves and is enriched by the collaborative contribution of students themselves. The ontology structure is described with the help of selected examples.

Smart Manufacturing Systems and Applied Industrial Technologies for a Sustainable Industry: A Systematic Literature Review

“…The academic and industrial community recognizes the importance of developing specific skills in the field of smart manufacturing. Generally, this is a proposed platform to help to customize learning through a modular approach such as MOOC (Massive Online Open Course), as described by Bruno and Antonelli (2018) [34]. Of course, these tools are fundamental for improving knowledge in all fields concerning smart manufacturing, ranging from digital technologies to integrated knowledge of economics and sustainability.…”

Transformação Digital Sob a Ótica Da Engenharia Do Conhecimento

“…A maior parte dos trabalhos (oito deles) foram classificados na área de Ciência da Computação. Information Management 2 (Bruno & Antonelli, 2018); (Zimmermann et al, 2015) Internet Of Things 2 (Ali, Jarwar & Chong, 2018); (Zimmermann et al, 2015) Knowledge Management 2 (Mizintseva & Gerbina, 2018); (Wang et al, 2017) Fonte: Dados da pesquisa (2019).…”

“…Número de publicações por área de assunto Fonte: Dados da pesquisa (2019). Os artigos mais citados foram Zimmermann, Schmidt, Sandkuhl, Wißotzki, Jugel e Möhring (2015), com 39 citações e Wan, Tang, Li, Imran, Zhang, Liu e Pang (2018), com 6 citações.Uma tabela foi construída com as palavras-chaves mais utilizadas para descrever os trabalhos, servindo de possível ligação entre eles.Tabela 1 -Palavras-chaves distribuídas por artigos Antonelli, 2018);(Mihailescu, Mihailescu & Schultze, 2015);(Mizintseva & Gerbina, 2018);(Szabó & Ternai, 2017);(Timm et al, 2018);(Wan et al, 2019);(Zimmermann et al, 2015) Ontology 5(Bruno & Antonelli, 2018);(Javaid et al, 2017);(Mizintseva & Gerbina, 2018);(Wan et al, 2019);(Wang et al, 2017) Metadata 4(Ali, Jarwar & Chong, 2018);(Bruno & Antonelli, 2018);(Timm et al, 2018);(Wang et al, 2017) Information Systems 3(Mihailescu, Mihailescu & Schultze, 2015);(Szabó & Ternai, 2017);(Zimmermann et al, 2015) Semantics 3(Ali, Jarwar & Chong, 2018);(Wan et al, 2019);(Zimmermann et al, 2015) , 2018);(Wan et al, 2019) …”