ABSTRACT
The digitalisation of building permit necessitates streamlined approaches for handling diverse and complex datasets. To meet this need, profiles of varied data sources are critical in distilling relevant information, addressing common concerns, and simplifying the use of interoperable data. Defining simplified profiles allows avoiding over-reliance on the entirety of available data, instead using constrained, modular representations tailored to specific regulatory and procedural needs.
Drawing from principles of interoperability and practical applications, this chapter highlights existing and emerging practices in defining and managing such data profiles. It discusses how profiling standards like CityGML, IFC, XPlanung, and INSPIRE can improve practical interoperability to suit specific regulatory use cases. Machine-readable profiles can be used to validate whether available data meets processing requirements and ensure the reliability of digital workflows by automating compliance checks and linking disparate data sources.
By leveraging profiling methodologies, digital building permit processes can achieve better data reusability, trusted automatic compliance checks, and integration of diverse datasets into cohesive workflows. This chapter reviews practices in the area and discusses how Linked Data approaches can support scalable solutions with modular, machine-readable profiles that can harmonise data while reducing complexity and enhancing traceability.
