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The construction industry is a collaborative environment with the involve-ment of multiple disciplines and activities throughout the Building Lifecycle Stages. The collaboration requires the iterative and coordinated exchange of information for significant improvement of the building design, construction and management. The successful representation of these information re-finements enables the identification of the required level of detail (LOD) for data sharing parameters between the multiple disciplines. Since the last dec-ade, LOD is a promising approach for efficient representation of semantically rich BIM data in different levels. Despite the improvement, there is a lack of efficient implementation in building lifecycle functionalities, because of their fundamental heterogeneity, versatility and adaptability. The proposed approach enables the representation of LOD-sensitive BIM data through the formal definition of ontologies. The paper validates this approach based on the concept of competency questions and their respective SPARQL queries. With the demonstration and validation, the paper provides the conceptual proof for the practical application of the developed approach. The proposed solution can also be easily adaptable and applicable to the present BIM pro-cess since the representation of BIM data in different ontologies (BOT, ifcOWL, etc.) are within reach.:1 Introduction and Background; 2 State-of-art-analysis 2.1 LOD systems 2.2 Information Management 3 Ontology-based LOD representation 3.1 LOD framework 3.2 Exemplary demonstration 4 BIM data management 4.1 LOD sensitive BIM data 4.2 LOD framework to processes 5 Framework validation 6 Conclusion and Future work 7 Acknowledgement 8 References

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No description available.

No description available.

No description available.

No description available.