The Facility Management (FM) sector is often hampered by data fragmentation and poor interoperability, hindering operational efficiency. To overcome these challenges, Semantic Web Technologies (SWTs) offer a robust framework by enabling machine-readable data integration. However, the application of SWTs in FM is underexplored. Therefore, this study systematically analyzes the structure, evolution, and emerging trends of SWT applications in FM to provide a clear research roadmap. A systematic literature review and bibliometric analysis were conducted on a final dataset of 107 academic articles using co-citation and keyword co-occurrence analysis. The results reveal that research in this domain has experienced exponential growth since 2021, with publications concentrated in high-impact journals. While a core group of influential authors has emerged, international collaboration remains fragmented. Thematic analysis identified a clear evolutionary trajectory from foundational concepts like BIM and ontologies toward applied Digital Twins and, most recently, advanced automation using Knowledge Graphs. This study provides a comprehensive roadmap for future inquiry, highlighting the need to mature technology integration, advance applied digital twins, and develop domain-specific ontologies to create more intelligent facilities. Ultimately, this study provides managers and policy-makers with a data-driven reference for strategically prioritizing investments in digitalization to achieve sustainable facility operation.

Semantic Web Technologies in Construction Facility Management: A Bibliometric Analysis and Future Directions

Rafay Ali Bukhari Syed;Rosa Agliata
;
Luigi Mollo
2025

Abstract

The Facility Management (FM) sector is often hampered by data fragmentation and poor interoperability, hindering operational efficiency. To overcome these challenges, Semantic Web Technologies (SWTs) offer a robust framework by enabling machine-readable data integration. However, the application of SWTs in FM is underexplored. Therefore, this study systematically analyzes the structure, evolution, and emerging trends of SWT applications in FM to provide a clear research roadmap. A systematic literature review and bibliometric analysis were conducted on a final dataset of 107 academic articles using co-citation and keyword co-occurrence analysis. The results reveal that research in this domain has experienced exponential growth since 2021, with publications concentrated in high-impact journals. While a core group of influential authors has emerged, international collaboration remains fragmented. Thematic analysis identified a clear evolutionary trajectory from foundational concepts like BIM and ontologies toward applied Digital Twins and, most recently, advanced automation using Knowledge Graphs. This study provides a comprehensive roadmap for future inquiry, highlighting the need to mature technology integration, advance applied digital twins, and develop domain-specific ontologies to create more intelligent facilities. Ultimately, this study provides managers and policy-makers with a data-driven reference for strategically prioritizing investments in digitalization to achieve sustainable facility operation.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11591/579404
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