In modern industries, digital models have become indispensable assets for design and simulation. Despite their broad application, interoperability challenges remain an obstacle to effective integration. This paper proposes an ontology-driven approach to address these challenges by bridging semantic gaps among heterogeneous models. The approach consists of a semantic representation of the model’s informational content following an ontology schema and a mapping algorithm that systematically aligns nodes, blocks, and relationships. Its feasibility is validated and evaluated by a case study of parsing and mapping in different scenarios, between the SysML (Systems Modeling Language) system design model and the Discrete Event Simulation model.