Title A Bibliometric Analysis on the Research Trends of Ontology Utilization in the Field of Architecture
Authors 박종진(Park, Jong Jin) ; 임수영(Lim, Su Young) ; 김언용(Kim, Eonyong) ; 전한종(Jun, Han Jong)
DOI https://doi.org/10.5659/JAIK.2023.39.2.95
Page pp.95-104
ISSN 2733-6247
Keywords Ontology; Semantic Web; Research Trends; Bibliometric Analysis
Abstract 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.