An approach of ontology and knowledge base for railway maintenance

<p>Maintenance methods have become automated and innovative, especially with the transition to maintenance 4.0. However, social issues such as coronavirus disease of 2019 (COVID-19) war in Ukraine caused significant departures experts, resulting loss enormous know-how. As part this work, we will propose a solution by exploring knowledge expertise these experts for purpose sharing conservation. In perspective, built base based on experience feedback. The proposed method illustrates case study single excitation configuration interaction (SECI) optimally capture explicit tacit each technician, well theoretical basis, model Nonaka Takeuchi.</p>