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Analysis on the Characteristics of Construction Practice Information Using Text Mining: Focusing on Information Such as Construction Technology, Cases, and Cost Reduction

Journal of the Korean Society for Library and Information Science / Journal of the Korean Society for Library and Information Science, (P)1225-598X; (E)2982-6292
2022, v.56 no.4, pp.205-222
https://doi.org/10.4275/KSLIS.2022.56.4.205


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Abstract

This study aims to improve the information service so that construction engineers and construction project participants without specialized knowledge can easily understand the important words and the interrelationships between them in construction practice. To this end, using text mining and network centrality, the frequency of occurrence of words, topic modeling, and network centrality in construction practice information such as technical information, case information, and cost reduction, which are most used in the Construction Technology Digital Library, were analyzed. Through this analysis, design, construction, project management, specifications, standards, and maintenance related to road construction such as roads, pavements, bridges, and tunnels were identified as important in construction practice. In addition, correlations were analyzed for words with high importance by measuring Degree Centrality and Eigenvector Centrality. The result was that more useful information could be provided if the technical information was expanded. Finally, we presented the limitations of the study results and additional studies according to the limitations.

keywords
Construction Practice Information, Topic Modeling, Network Centrality, Correlation Analysis, Construction Technology Digital Library, 건설실무정보, 주제 모형화, 네트워크 중심성, 상관관계 분석, 건설기술정보시스템

Journal of the Korean Society for Library and Information Science