This paper primarily focuses on developing a knowledge-based system (KBS) tailored for industrial maintenance. To establish the foundation of this system, we leverage ontology—a tool that not only enables more profound knowledge and information sharing but also ensures equipment availability and streamlines the decision-making process for industrial equipment. The system is built within the Protégé environment, incorporating the well-known manufacturing semantics ontology—MASSON ontology, which captures a spectrum of manufacturing concepts and their intricate relationships. The domain knowledge and inference knowledge are respectively modelled using Ontology Web Language—OWL and Semantic Web Rule Language—SWRL rules, while the retrieval of the inferred information and other valuable maintenancerelated knowledge is facilitated through the use of Semantic Query-Enhanced Web Rule Language— SQWRL queries. To demonstrate the real-world applicability of our proposed solution, we present a demonstrative example from a case study conducted within the Algerian Qatari Steel company (AQS), which serves as a practical testament to the value and efficacy of this approach in a manufacturing setting, further emphasizing the importance of semantic knowledge sharing in optimizing maintenance practices, especially in environments filled with intricate industrial instruments, where effective sharing of vital information can make a significant difference.  

Knowledge-based system, industrial maintenance, knowledge sharing, Semantic technology, ontology, MASSON.