Building Information Modelling (BIM) has the potential to become a technology which will help to use a holistic information repository to generate and represent relevant information in different building life-cycle stages (BLCS) to dedicated groups of stakeholders. However, the scope of model components of BIM data (e.g., IFC meta-data) is limited and some parts of it are not modelled in a manner that supports the diversity of engineering use cases. This paper aims to address this deficit by identifying the capability to formulate inference rules as one of the major benefits in the ontology-based information modelling approach. However, before one can formulate inferencing rules a detailed and in-depth understanding is required on how stakeholder information needs are defined in different BLCS and on how available, open-BIM meta-data models support these information requirements. Therefore, the research progressed initially on existing definitions for Level of Detail (LOD) and selected process-modelling standards (BLCS). In the subsequent part, different renovation Activities and the Stakeholder involvements are analysed. Use cases are defined and used as a grouping mechanism for selected scenarios. Based on these grouping mechanisms, a methodology of how components of a BIM-model could be classified to support automated inferencing in the future. The outcome of this research is an established 6-dimensional intercommunication framework (LOD, BLS, Scenarios, Stakeholders, Use Cases, BIM model data) based on the Linked Building Data approach and focusing on renovation processes optimization. Based on the framework, a renovation Product-Process Modelling ontology is developed to connect existing components and to support new interoperable applications.