The construction sector is in continuous evolution due to the digitalisation and integration into daily activities of the building information modelling approach and methods that impact on the overall life cycle. This study investigates the topic of BIM/GIS integration with the adoption of ontologies and metamodels, providing a critical analysis of the existing literature. Ontologies and metamodels share several similarities and could be combined for potential solutions to address BIM/GIS integration for complex tasks, such as asset management, where heterogeneous sources of data are involved. The research adopts a systematic literature review (SLR), providing a formal approach to retrieve scientific papers from dedicated online databases. The results found are then analysed, in order to describe the state of the art and suggest future research paths, which is useful for both researchers and practitioners. From the SLR, it emerged that several studies address ontologies as a promising way to overcome the semantic barriers of the BIM/GIS integration. On the other hand, metamodels (and MDE and MDA approaches, in general) are rarely found in relation to the integration topic. Moreover, the joint application of ontologies and metamodels for BIM/GIS applications is an unexplored field. The novelty of this work is the proposal of the joint application of ontologies and metamodels to perform BIM/GIS integration, for the development of software and systems for asset management.

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Digital transformation of private and public entities is a process strongly encouraged by the European Commission. The social housing sector, which provides long‐term housing or subsidies for vulnerable households, struggles to reach a good digitalization level and needs specific solutions that address its technical, financial, and administrative peculiarities. Indeed, the social housing sector often faces issues related to insufficient available funds that can be used for optimizing assets' maintenance operations, ensuring the safety and wellbeing of building occupants with better management of financial resources. Furthermore, it is not a widely explored area by the research community. To provide digital solutions for innovating the management of the property assets and, specifically, the maintenance activities for social housing, the paper presents a case study from the Italian social housing system. Current available processes, data, and information systems are explored to propose a solution for the visualization and management of collected data at the provincial, municipality, and building levels. The main purpose is to support decision makers for maintenance activities. Scholars and practitioners in this research field can benefit from the proposed solution to lead actions for the digital transition of the social housing sector.