When it comes to Big Data ecosystems, main technical challenges pertain to defining links between data, information and knowledge, thus reaching interoperability. Interoperability issues are addressed in the context of data curation related tasks. Interoperability is a major prerequisite for achieving data automation, validation, thus fighting counter-productiveness (notably through data incentivisation). The demand for interoperable, reusable and open data is more and more present, thus pushing forward the research for innovation data curation approaches. This article gives a high level description of our approach for bridging the interoperability gap among GIS (Geographic Information Systems) and BIM (Building Information Modelling) systems. After a summary of standards existing in the considered application domains, we further specify the interoperability issues applying and present existing approaches for reaching interoperability among models. Based on the study of these approaches, we then discuss our approach and the related multi-scale modelling. We illustrate how it allows reaching federation among GIS and BIM systems, while supporting consistent reasoning on the features of the federated systems. We conclude with a listing of future work to be done in order to reach this vision.