High fragmented and hardly accessible information often leads to struggling management of diffused assets. BIM and GIS integration is promising to develop effective digital Asset Management Systems (AMS) to facilitate information sharing and collaborative management. This paper presents a replicable methodological approach to develop a pilot BIM-GIS, web-based AMS for the University of Turin. The main aim is to overcome document-based and fragmented management, avoiding ineffective decisions during the operational and maintenance phase. The key step of integrating data from several heterogeneous sources in an accessible, centralized database is deep in described. Furthermore, two demonstrators are illustrated, discussing the first results and AMS potentials.

Natural Language Processing (NLP) is widely used to solve several tasks in different construction fields. However, there are no applications related to the predesign phase. Analysing the Italian public design call for tender procedure, possible information criticalities can be identified. The study proposes a formalization, from a System Engineering (SE) perspective, of the implementation of an NLP-based system in the pre-design phase of an Italian public procedure. SE focuses on the formalization of main stakeholders, system values and functions via IDEF0, Analytical Hierarchy Process (AHP), and Quality Function Deployment (QFD).