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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
  • 2022, 56(4), pp.205-222
  • DOI : 10.4275/KSLIS.2022.56.4.205
  • Publisher : 한국문헌정보학회
  • Research Area : Interdisciplinary Studies > Library and Information Science
  • Received : October 18, 2022
  • Accepted : November 24, 2022
  • Published : November 30, 2022

Seong-Yun Jeong 1 Kim,Jin-Uk 1

1한국건설기술연구원

Excellent Accredited

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.

Citation status

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