This repository includes a set of SPARQL queries that enable to transform the data of BIM models in the IFC4 STEP format to the SimModel specification in RDF format.
You can implement a routine to process SPARQL queries using some of the existing libraries (Jena, DotNetRDF, etc.) depending on the programming language you prefer (Java, C #, etc.).
- Apache Jena Library: https://jena.apache.org/download
- DotNetRDF library: https://www.dotnetrdf.org/
This repository contains some test files used to check the result of the data transformations carried out through the SPARQL Construct queries. You can find these files in the 'tests' folder. Note that these are tests performed with BIM models exported to IFC following the OptEEmAL guide. You can check the guide using the following link: BIM Guidelines
The following articles refer to the context in which the development of the SPARQL queries has been carried out:
-
Sicilia, Á., & Costa, G. (2017, December). Energy-Related Data Integration Using Semantic Data Models for Energy Efficient Retrofitting Projects. In Multidisciplinary Digital Publishing Institute Proceedings (Vol. 1, No. 7, p. 1099). https://www.researchgate.net/publication/321581536_Energy-Related_Data_Integration_Using_Semantic_Data_Models_for_Energy_Efficient_Retrofitting_Projects
-
Costa, G., & Sicilia, Á. (2017, November). Methodology for data integration using SPARQL Constructs in the AEC industry. In Proceedings of the 5th Linked Data in Architecture and Construction Workshop (LDAC2017), Dijon, France (pp. 13-15). https://www.researchgate.net/publication/320870777_Methodology_for_data_integration_using_SPARQL_Constructs_in_the_AEC_industry
Part of this work has been conducted within the project "Optimised Energy Efficient Design Platform for Refurbishment at District Level", which has received funding from the European Union Horizon 2020 Framework Pro-gramme (H2020/2014-2020) under grant agreement n° 680676.
You can report any errors that you found to the authors: [email protected], [email protected].