|A Bibliometric Analysis on the Research Trends of Ontology Utilization in the Field of Architecture
|박종진(Park, Jong Jin) ; 임수영(Lim, Su Young) ; 김언용(Kim, Eonyong) ; 전한종(Jun, Han Jong)
| Ontology; Semantic Web; Research Trends; Bibliometric Analysis
|This study examines the trend of ontology-related research in the architectural field using bibliometric methods based on articles indexed in
the SCI-Expanded Database and the KCI-Korean Journal Database of Web of Science® (WoS, Clarivate). Scientometric analysis such as
publication by year, co-author, keyword co-occurrence, and cluster was used to visualize the research status quo by using VOSviewer and
identified challenges of the domestic ontology-related research in the field of architecture. The results identified an increasing trend of
research publications in the field of convergence research related to BIM and artificial intelligence since 2015. A geographical area analysis
identified the major producing countries that contributed to ontology-related architectural research and their research collaboration network.
From the keyword network analysis, building information modeling (BIM) was the core keyword, followed by artificial intelligence
(AI)-related keywords including deep learning, computer vision and natural language processing. Four research themes identified the
combination of keyword co-occurrence and cluster analysis: BIM, Architectural and Construction Planning, Building Performance and
Management, and AI and Information Management. This study provides insight in the overall ontology-related research in the field of
architecture and predicts its potential direction for future domestic research.