Knowledge Extraction in Cyber-Physical Systems Meta-models: A Formal Concept Analysis Application

Yasamin Eslami, Sahand Ashouri, Chiara Franciosi, Mario Lezoche

2022

Abstract

Industry 4.0, also known as the “Fourth Industrial Revolution”, “smart manufacturing”, “industrial internet” or “Factory of the Future” is a trend and highly discussed topic nowadays. Therefore, this topic drew attention to research and practice and opened many doors to shed light on the future path of engineering approaches. Cyber-Physical Systems (CPSs) play an important role as one of the core components in the industry 4.0 approach, as they connect the physical objects in production systems to the virtual ones. Indeed, CPSs are the main sources in Industry 4.0 through which data can be transformed into information and consequently extracted as knowledge. To be able to derive the required knowledge from the transformed information, it is essential to excavate the concept of CPS and associate its characteristics by which the system is identified. However, the current literature lacks a systematic study which analyses the characteristics of CPSs and the relationships among them. And so forth, this study will focus on CPS meta-models and their characteristics. Formal Concept Analysis (FCA), as a clustering technique, will be used to investigate any hypothetical relationship among the characteristics.

Paper Citation

in Harvard Style

Eslami Y., Ashouri S., Franciosi C. and Lezoche M. (2022). Knowledge Extraction in Cyber-Physical Systems Meta-models: A Formal Concept Analysis Application. In Proceedings of the 3rd International Conference on Innovative Intelligent Industrial Production and Logistics - Volume 1: IN4PL, ISBN 978-989-758-612-5, pages 129-136. DOI: 10.5220/0011536700003329

in Bibtex Style

@conference{in4pl22,
author={Yasamin Eslami and Sahand Ashouri and Chiara Franciosi and Mario Lezoche},
title={Knowledge Extraction in Cyber-Physical Systems Meta-models: A Formal Concept Analysis Application},
booktitle={Proceedings of the 3rd International Conference on Innovative Intelligent Industrial Production and Logistics - Volume 1: IN4PL,},
year={2022},
pages={129-136},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011536700003329},
isbn={978-989-758-612-5},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 3rd International Conference on Innovative Intelligent Industrial Production and Logistics - Volume 1: IN4PL,
TI - Knowledge Extraction in Cyber-Physical Systems Meta-models: A Formal Concept Analysis Application
SN - 978-989-758-612-5
AU - Eslami Y.
AU - Ashouri S.
AU - Franciosi C.
AU - Lezoche M.
PY - 2022
SP - 129
EP - 136
DO - 10.5220/0011536700003329