BIM models comprise extensive data that the project team can use to automatise BIM Uses based on algorithms. However, such an algorithm queries and analyses information regarding their labelling. As various stakeholders may label the same information differently, project participants need to update their algorithms for every data exchange manually. These adjustments especially result in a high workload when applying multiple BIM Uses on one BIM model. The thesis presents a novel approach to enrich BIM models, in the form of IFC, by translating provided information into internally standardised information requirements that base on Exchange Information Requirements (EIR), but extend them by another dimension: the labelling requirements. The author proposes the model of Internal Model Information Requirements (IMIR) to store and maintain both dimensions. Additionally, it introduces hierarchically structured information requirements. The hierarchy is essential as different data triggers different requirements. For example, the material \textitConcrete requires different information than the material \textitTimber. The IMIR-model eventually allows for mvdXML export. Afterwards, the IMIR-model functions to assign data from an IFC model to data from the IMIR itself. The Enrich-IFC-model stores these assigned pairs and derives an enriched IFC model containing both, the original information and the internally standardised information. Moreover, the Enrich-IFC-model allows for model validation and export of model-related errors for collaboration in the form of BCF files. The author converts the approach into a prototype that provides core functionalities of the Enrich-IFC-model, including a graphical user interface. The thesis compares the innovative approach with a conventional approach applying them to the BIM Use \textitCost Estimation to prove the value. The Enrich-IFC approach does not yet decrease the workload. However, developing the usability of the prototype and applying it to multiple BIM Uses is expected to minimise manual work intensively. Compared to the conventional approach, the main benefits of the Enrich-IFC-approach are: (1) coherent and flexible structure of information requirements, (2) comprehensible model validation supporting BCF communication and (3) the expert only needs to work with one application instead of multiple.     «

BIM models comprise extensive data that the project team can use to automatise BIM Uses based on algorithms. However, such an algorithm queries and analyses information regarding their labelling. As various stakeholders may label the same information differently, project participants need to update their algorithms for every data exchange manually. These adjustments especially result in a high workload when applying multiple BIM Uses on one BIM model. The thesis presents a novel approach to enri...     »