Graph Transformation Rules for Ifc-to-Citygml Attribute Conversion

Abstract

<p><strong>Abstract.</strong> In model transformation, the population of attributes on the target side constitutes the last step of the conversion process that carries over that part of the input which is often perceived as the most valuable actual information. We are employing a graph-based model transformation approach to convert building information models into geospatial city models. In this paper, we are reporting on different types of transformation rules to populate the attributes on CityGML side using information extracted from the IFC data. We document the various ways how attribute values can be stored in IFC and CityGML respectively and identify patterns that bridge these endpoints in the conversion process. These patterns lead to a set of prototypical graph transformation rules which have been applied to a range of building projects. The novel graph-based approach to IFC-to-CityGML conversion implicates an intuitive visual representation of these rules. This work can also serve as a starting point to convert IFC data to other formats or to populate CityGML from other data sources.</p>

Reference study of CityGML software support: The GeoBIM benchmark 2019—Part II

“…Due to the overlapping interests in both fields (meeting in the building-level representation), increasing attention is being paid to 3D city model-BIM integration (GeoBIM), where the exchange of information between geospatial (3D city models) and BIM sources enables the reciprocal enrichment of the two kinds of information with advantages for both fields, e.g., automatic updates of 3D city models with high-level-of-detail features, automatic representation of BIM in their context, automated tests of the design, and so on (Aleksandrov, Diakite, Yan, Li, & Zlatanova, 2019;Arroyo Ohori, Diakite, Krijnen, Ledoux, & Stoter, 2018;Fosu, Suprabhas, Rathore, & Cory, 2015;Kang & Hong, 2015;Kumar, Labetski, Arroyo Ohori, Ledoux, & Stoter, 2019;Lim, Tauscher, & Biljecki, 2019;Liu et al, 2017;Niu, Yang, & Pan, 2019;Stouffs, Tauscher, & Biljecki, 2018;Sun, Mi, Olsson, Paulsson, & Harrie, 2019).…”

Tools for BIM-GIS Integration (IFC Georeferencing and Conversions): Results from the GeoBIM Benchmark 2019

“…However, GML presents issues from a software developer point of view (e.g. regarding the geometry representation 10 ). The consequences of this were pointed out by Task 3 of the benchmark too [15].…”

“…The exchange of information between geospatial (3D city models) and BIM sources enables the reciprocal enrichment of the two kinds of information with advantages for both fields, e.g. automatic updates of 3D city models with high-level-of-detail features, automatic representation of BIM in their context, automated tests of the design, and so on [1][2][3][4][5][6][7][8][9][10][11][12].…”

Quality of Bim–gis Conversion

“…Preliminary papers about the project are available (Stouffs et al, 2018;Konde et al, 2018;Lim et al, 2019). Also, an ADE has been developed to preserve rich information from IFC.…”