Integration of Building Information Modeling (BIM) and Geographic Information System (GIS): a new approach for IFC to CityJSON conversion

Şenol H. İ., Gökgöz T.

EARTH SCIENCE INFORMATICS, vol.17, no.4, pp.3437-3454, 2024 (SCI-Expanded) identifier

  • Publication Type: Article / Article
  • Volume: 17 Issue: 4
  • Publication Date: 2024
  • Doi Number: 10.1007/s12145-024-01343-1
  • Journal Name: EARTH SCIENCE INFORMATICS
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Academic Search Premier, CAB Abstracts, Geobase, INSPEC
  • Page Numbers: pp.3437-3454
  • Keywords: BIM-GIS integration, CityJSON, IFC, Semantic web technologies, Smart city
  • Yıldız Technical University Affiliated: Yes

Abstract

Within the contemporary urban development discourse, the paradigm of smart cities has gained prominence over the past two decades. Ensuring sustainability in smart cities requires coherent orchestration of processes that span design, construction, operations, and management. Central to this orchestration are technologies such as Building Information Modeling (BIM), which provides detailed architectural data, and Geographic Information Systems (GIS), which provide comprehensive geographic intelligence. However, a significant challenge remains: data degradation during BIM-GIS integration. This data inconsistency, exacerbated by the different data structures of BIM and GIS, is a barrier to true interoperability. One promising solution to this conundrum is the use of Semantic Web technologies. In this study, we leverage Semantic Linked Data and geometric conversion tools to develop an algorithm that mitigates the loss of semantic information during the BIM-to-GIS conversion process. The effectiveness of this approach is underscored by a 95% accuracy rate of the converted semantic information.