As Dutch infrastructure continues to age and complexity increases, conventional document-based approaches are reaching their limits. This thesis develops a structured, knowledge-based Model-Based Systems Engineering (MBSE) framework that addresses key socio-technical dimensions by integrating Semantic Linked Data within a Common Data Environment (CDE) to support the governance and execution of infrastructure renovation and replacement programmes. The framework primarily explores technological solutions with the right capabilities, while systematically considering the socio-technical conditions required for successful adoption. Unlike existing MBSE practices, it introduces a semantic and knowledge-driven foundation that does not yet exist in the current infrastructure sector. It focuses on practical applicability and aims to enhance interdisciplinary coordination, lifecycle traceability, and long-term information reuse and knowledge sharing across organisational boundaries. A case study involving a movable bridge illustrates how semantic modelling can be applied in practice.

A key contribution of this research is the demonstration that Semantic Linked Data enables stronger connections between Systems Engineering, asset management, and programme-level governance. It facilitates integrated decision-making, participatory system approaches, and open communication through shared semantics across disciplines and stakeholders. While the technical foundations are maturing, the study highlights a lack of structured understanding among Systems Engineers regarding the diversity of available tools and their effective application. Moreover, organisational aspects and the practical embedding of MBSE in real work processes are often overlooked.

The thesis concludes with strategic recommendations for gradual implementation and collaborative learning, including the formation of a Semantic Linked Data consortium led by asset owners. Such a consortium is critical for the consistent development and maintenance of ontologies and interoperability standards across the programme. Further exploration is needed into how small, incremental and iterative efforts can deliver visible value to diverse stakeholders, how the desired organisational change can be guided, and how the transition to new digital technologies can be made feasible within complex, multi-actor environments. To ensure coherence, socio-technical interdependencies must be developed in alignment with the MBSE system model (language, method, and tools). The proposed approach, based on structured semantic modelling, provides a scalable pathway towards a more adaptive, efficient, and data-driven infrastructure sector.