CODE-ACCORD: A Corpus of building regulatory data for rule generation towards automatic compliance checking.
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| Title: | CODE-ACCORD: A Corpus of building regulatory data for rule generation towards automatic compliance checking. |
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| Authors: | Hettiarachchi H; Faculty of Science and Technology, Lancaster University, Lancaster, LA1 4WA, UK. h.hettiarachchi@lancaster.ac.uk., Dridi A; Faculty of Computing, Engineering and Built Environment, Birmingham City University, Birmingham, B4 7XG, UK., Gaber MM; Faculty of Computing, Engineering and Built Environment, Birmingham City University, Birmingham, B4 7XG, UK., Parsafard P; Faculty of Computing, Engineering and Built Environment, Birmingham City University, Birmingham, B4 7XG, UK., Bocaneala N; Faculty of Computing, Engineering and Built Environment, Birmingham City University, Birmingham, B4 7XG, UK., Breitenfelder K; Fraunhofer Institute for Building Physics IBP, Department Indoor Climate and Climatic Impacts, Fraunhofer Str. 10, 83626, Valley, Germany., Costa G; Human Environment Research (HER), La Salle, Ramon Llull University, Barcelona, Catalonia, Spain., Hedblom M; Department of Computing, School of Engineering, Jönköping University, Box 1026, 551 11, Jönköping, Sweden., Juganaru-Mathieu M; Mines Saint-Etienne, Institut Henri Fayol, Département ISI, F - 42023, Saint-Etienne, France., Mecharnia T; Université de Lorraine, CNRS, LORIA, 54506, Vandœuvre-lès-Nancy, France., Park S; Fraunhofer Institute for Building Physics IBP, Department Indoor Climate and Climatic Impacts, Fraunhofer Str. 10, 83626, Valley, Germany., Tan H; Department of Computing, School of Engineering, Jönköping University, Box 1026, 551 11, Jönköping, Sweden., Tawil AH; Faculty of Computing, Engineering and Built Environment, Birmingham City University, Birmingham, B4 7XG, UK., Vakaj E; Faculty of Computing, Engineering and Built Environment, Birmingham City University, Birmingham, B4 7XG, UK. |
| Source: | Scientific data [Sci Data] 2025 Jan 29; Vol. 12 (1), pp. 170. Date of Electronic Publication: 2025 Jan 29. |
| Publication Type: | Journal Article; Dataset |
| Journal Info: | Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101640192 Publication Model: Electronic Cited Medium: Internet ISSN: 2052-4463 (Electronic) Linking ISSN: 20524463 NLM ISO Abbreviation: Sci Data Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 2052-4463 |
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| DOI: | 10.1038/s41597-024-04320-x |
