계량서지학적 분석을 통한 건축 분야 온톨로지 연구동향 분석

초록

This study examines the trend of ontology-related research in the architectural field using bibliometric methods based on articles indexed inthe SCI-Expanded Database and the KCI-Korean Journal Database of Web of Science® (WoS, Clarivate). Scientometric analysis such aspublication by year, co-author, keyword co-occurrence, and cluster was used to visualize the research status quo by using VOSviewer andidentified challenges of the domestic ontology-related research in the field of architecture. The results identified an increasing trend ofresearch publications in the field of convergence research related to BIM and artificial intelligence since 2015. A geographical area analysisidentified 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 thecombination of keyword co-occurrence and cluster analysis: BIM, Architectural and Construction Planning, Building Performance andManagement, and AI and Information Management. This study provides insight in the overall ontology-related research in the field ofarchitecture and predicts its potential direction for future domestic research.

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