University of the West of Scotland, Paisley, UK E-mail: joanna.olszewska@ieee.org"/> Universidad Politecnica de Madrid, Spain E-mails: julia.bermejo@upm.es; Ricardo.Sanz@upm.es"/>
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2022 Volume 37
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RESEARCH ARTICLE   Open Access    

Special issue on ontologies and standards for intelligent systems: editorial

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  • Abstract: Day by day, new intelligent systems and autonomous machines are being developed to help and assist humans in a myriad of activities ranging from smart manufacturing to smart cities. Such new-generation intelligent systems need to work in teams and communicate with humans and other agents/robots to share information and coordinate activities. Furthermore, there is an increasing demand from government agencies and the private sector alike to use Unmanned Aerial Vehicles (UAVs), Unmanned Ground Vehicles (UGVs), Unmanned Surface Vehicles (USVs), and Autonomous Underwater Vehicles (AUVs) for tasks including search and rescue, surveillance, and monitoring. As these intelligent systems have to interact with humans in several scenarios involving multi-agent collaboration, data collection, and decision-making, it is urgent to discuss the technical as well as the ethical aspects in their design and function. Hence, ontology-based models for this Robotics and Automation (R&A) domain have the potential to enable a clear communication among the different intelligent systems and stakeholders, the formulations of standards, and the building of AI-based and robotics systems with full alignment with what stakeholders expect from these intelligent systems, in terms of economical benefits and enhanced human well-being.
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  • Bermejo-Alonso , J., Chibani , A., Goncalves , P., Li , H., Jordan , S., Olivares , A., Olszewska , J. I., Prestes , E., Fiorini , S. & Sanz , R. 2018. Collaboratively working towards ontology-based standards for robotics and automation. In IEEE International Conference on Intelligent Robots and Systems (IROS).

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    Botelho , W., Marietto , M., Mendes , E., Sousa , D., Pimentel , E., Da Silva , V. & Dos Santos , T. 2020. Toward an interdisciplinary integration between multi-agents systems and multi-robots systems: A case study. Knowledge Engineering Review 35, 1–24.

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    Grislin-Le Strugeon , E., Marcal de Oliveira , K., Zekri , D. & Thilliez , M. 2021. Agent mining approaches: An ontological view. Knowledge Engineering Review 36, 1–31.

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    Olivares-Alarcos , A., Bessler , D., Khamis , A., Goncalves , P., Habib , M., Bermejo-Alonso , J., Barreto , M., Diab , M., Rosell , J., Quintas , J., Olszewska , J. I., Nakawala , H., Pignaton , E., Gyrard , A., Borgo , S., Alenya , G., Beetz , M. & Li , H. 2019. A review and comparison of ontology-based approaches to robot autonomy. Knowledge Engineering Review 34, 1–34.

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    Pignaton de Freitas , E., Bermejo-Alonso , J., Khamis , A., Li , H. & Olszewska , J. I. 2020. Ontologies for cloud robotics. Knowledge Engineering Review 35, 1–17.

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    Sampath Kumar , V. R., Khamis , A., Fiorini , S., Carbonera , J. L., Olivares Alarcos , A., Habib , M., Goncalves , P., Li , H. & Olszewska , J. I. 2019. Ontologies for industry 4.0. Knowledge Engineering Review 34, 1–14.

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    Tsalapati , E., Tribe , J., Goodall , P. A., Young , R. I., Jackson , T. W. & West , A. A. 2021. Enhancing RFID system configuration through semantic modelling. Knowledge Engineering Review 36, 1–30.

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  • Cite this article

    Joanna Isabelle Olszewska, Julita Bermejo-Alonso, Ricardo Sanz. 2022. Special issue on ontologies and standards for intelligent systems: editorial. The Knowledge Engineering Review 37(1), doi: 10.1017/S0269888922000030
    Joanna Isabelle Olszewska, Julita Bermejo-Alonso, Ricardo Sanz. 2022. Special issue on ontologies and standards for intelligent systems: editorial. The Knowledge Engineering Review 37(1), doi: 10.1017/S0269888922000030
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RESEARCH ARTICLE   Open Access    

Special issue on ontologies and standards for intelligent systems: editorial

  • Received: 21 April 2022
  • Revised: 22 April 2022
  • Accepted: 22 April 2022
  • Published online: 13 May 2022
The Knowledge Engineering Review  37,  2022, 37(1)  |  Cite this article

Abstract: Abstract: Day by day, new intelligent systems and autonomous machines are being developed to help and assist humans in a myriad of activities ranging from smart manufacturing to smart cities. Such new-generation intelligent systems need to work in teams and communicate with humans and other agents/robots to share information and coordinate activities. Furthermore, there is an increasing demand from government agencies and the private sector alike to use Unmanned Aerial Vehicles (UAVs), Unmanned Ground Vehicles (UGVs), Unmanned Surface Vehicles (USVs), and Autonomous Underwater Vehicles (AUVs) for tasks including search and rescue, surveillance, and monitoring. As these intelligent systems have to interact with humans in several scenarios involving multi-agent collaboration, data collection, and decision-making, it is urgent to discuss the technical as well as the ethical aspects in their design and function. Hence, ontology-based models for this Robotics and Automation (R&A) domain have the potential to enable a clear communication among the different intelligent systems and stakeholders, the formulations of standards, and the building of AI-based and robotics systems with full alignment with what stakeholders expect from these intelligent systems, in terms of economical benefits and enhanced human well-being.

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    Joanna Isabelle Olszewska, Julita Bermejo-Alonso, Ricardo Sanz. 2022. Special issue on ontologies and standards for intelligent systems: editorial. The Knowledge Engineering Review 37(1), doi: 10.1017/S0269888922000030
    Joanna Isabelle Olszewska, Julita Bermejo-Alonso, Ricardo Sanz. 2022. Special issue on ontologies and standards for intelligent systems: editorial. The Knowledge Engineering Review 37(1), doi: 10.1017/S0269888922000030
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