TY - JOUR
T1 - Ontological concepts for information sharing in cloud robotics
AU - Pignaton de Freitas, Edison
AU - Olszewska, Joanna Isabelle
AU - Carbonera, Joel Luís
AU - Fiorini, Sandro R.
AU - Khamis, Alaa
AU - Ragavan, S. Veera
AU - Barreto, Marcos E.
AU - Prestes, Edson
AU - Habib, Maki K.
AU - Redfield, Signe
AU - Chibani, Abdelghani
AU - Goncalves, Paulo
AU - Bermejo-Alonso, Julita
AU - Sanz, Ricardo
AU - Tosello, Elisa
AU - Olivares-Alarcos, Alberto
AU - Konzen, Andrea Aparecida
AU - Quintas, João
AU - Li, Howard
N1 - Funding Information:
This work was partly supported by Innovate UK; CNPq and CAPES in Brazil; FRGS/1/2015/TK08/MUSM/02/1 in Malaysia.
Publisher Copyright:
© 2020, Springer-Verlag GmbH Germany, part of Springer Nature.
Copyright:
Copyright 2020 Elsevier B.V., All rights reserved.
PY - 2023/5
Y1 - 2023/5
N2 - Recent research and developments in cloud robotics (CR) require appropriate knowledge representation to ensure interoperable data, information, and knowledge sharing within cloud infrastructures. As an important branch of the Internet of Things (IoT), these demands to advance it forward motivates academic and industrial sectors to invest on it. The IEEE ’Ontologies for Robotics and Automation’ Working Group (ORA WG) has been developing standard ontologies for different robotic domains, including industrial and autonomous robots. The use of such robotic standards has the potential to benefit the Cloud Robotic Community (CRC) as well, supporting the provision of ubiquitous intelligent services by the CR-based systems. This paper explores this potential by developing an ontological approach for effective information sharing in cloud robotics scenarios. It presents an extension to the existing ontological standards to cater for the CR domain. The use of the new ontological elements is illustrated through its use in a couple of CR case studies. To the best of our knowledge, this is the first work ever that implements an ontology comprising concepts and axioms applicable to the CR domain.
AB - Recent research and developments in cloud robotics (CR) require appropriate knowledge representation to ensure interoperable data, information, and knowledge sharing within cloud infrastructures. As an important branch of the Internet of Things (IoT), these demands to advance it forward motivates academic and industrial sectors to invest on it. The IEEE ’Ontologies for Robotics and Automation’ Working Group (ORA WG) has been developing standard ontologies for different robotic domains, including industrial and autonomous robots. The use of such robotic standards has the potential to benefit the Cloud Robotic Community (CRC) as well, supporting the provision of ubiquitous intelligent services by the CR-based systems. This paper explores this potential by developing an ontological approach for effective information sharing in cloud robotics scenarios. It presents an extension to the existing ontological standards to cater for the CR domain. The use of the new ontological elements is illustrated through its use in a couple of CR case studies. To the best of our knowledge, this is the first work ever that implements an ontology comprising concepts and axioms applicable to the CR domain.
KW - Automated collaboration
KW - Autonomous robotics
KW - Cloud robotics
KW - Knowledge-based systems
KW - Multi-agent systems
KW - Robotics and automation
KW - System interoperability
UR - http://www.scopus.com/inward/record.url?scp=85086254981&partnerID=8YFLogxK
U2 - 10.1007/s12652-020-02150-4
DO - 10.1007/s12652-020-02150-4
M3 - Article
AN - SCOPUS:85086254981
SN - 1868-5137
VL - 14
SP - 4921
EP - 4932
JO - Journal of Ambient Intelligence and Humanized Computing
JF - Journal of Ambient Intelligence and Humanized Computing
ER -