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

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.

Authors

Institutions

Publication Details

Journal
Buildings
Published
2025-10-24
DOI
https://doi.org/10.3390/buildings15213845
Citations
2
Primary Topic
BIM and Construction Integration
Type
article
Field-Weighted Citation Impact
2.01
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

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

Rosa Agliata, Luigi Mollo, Ippolita Mecca, Rafay Ali Bukhari Syed
2 citations
Buildings
BIM and Construction Integration
2.01
article

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

Rosa Agliata, Luigi Mollo, Ippolita Mecca, Rafay Ali Bukhari Syed
article en
2 citations

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.

BuildingsVol. 15(21)
Pegaso University (IT), University of Campania "Luigi Vanvitelli" (IT)
Openalex Percentile: Top 12%
BIM and Construction Integration
2.01
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Semantic Web Technologies in Construction Facility Management: A Bibliometric Analysis and Future Directions — Rosa Agliata, Luigi Mollo, et al. · Buildings (2025) | TGRS Research Map | TGRS