• International conference on construction engineering and project management
• /
• 2015.10a
• /
• pp.37-38
• /
• 2015

A number of documents containing important and useful knowledge have been generated over time in the construction industry. Such text-based knowledge plays an important role in the construction industry for decision-making and business strategy development by being used as best practice for upcoming projects, delivering lessons learned for better risk management and project control. Thus, practical and usable knowledge creation from construction documents is necessary to improve business efficiency. This study proposes a knowledge creating system from construction documents using text mining and the design comprises three main steps - text mining preprocessing, weight calculation of each term, and visualization. A system prototype was developed as a pilot study of the system design. This study is significant because it validates a knowledge creating system design based on text mining and visualization functionality through the developed system prototype. Automated visualization was found to significantly reduce unnecessary time consumption and energy for processing existing data and reading a range of documents to get to their core, and helped the system to provide an insight into the construction industry.

• International conference on construction engineering and project management
• /
• 2024.07a
• /
• pp.846-854
• /
• 2024

A project's success is directly guaranteed by the prevention of construction-related problems. Nevertheless, the prevention of quality issues frequently overlooks how issues are coupled with one another, which might result in a domino effect of quality issues. In order to solve the above problems, this work first preprocesses unstructured text data with quality problem coupling. Then the pre-processing data is used to build a knowledge base for the prevention of construction quality problems. Then the text similarity algorithm is used to mine the coupling relationship between the qualities and enrich the information in the database. Finally, some text is used as test object to verify the validity of the method. This study enriches the research around the prevention of building quality problems.

• Korean Journal of Construction Engineering and Management
• /
• v.17 no.5
• /
• pp.89-96
• /
• 2016

Most data generated in construction projects is unstructured text data. Unstructured data analysis is very needed in order for effective analysis on large amounts of text-based documents, such as contracts, specifications, and RFI. This study analysed previously performed project's bid related documents (bidder inquiry) in overseas construction projects; as a results of the analysis frequent words in documents, association rules among the words, and various document topics were derived. This study suggests effective text analysis approach for massive documents with short time using text mining technique, and this approach is expected to extend the unstructured text data analysis in construction industry.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.17 no.6
• /
• pp.656-662
• /
• 2016

We have provided a variety of domestic construction technology related full-text services through the Construction Technology Digital Library system since 2001. CODIL is a system that services the database related to construction technology data. On the other hand, there is growing demand for DB every year, but the required budget is shrinking. Therefore, this study investigated the satisfaction to effectively service the construction technique-related full-text with a limited budget. The monetary value of full-text to express satisfaction with the quantified value was estimated using the Tobit model. The Tobit model is used as a contingent valuation method to estimate the value of non-market goods. This model is the limited dependent variable regression model to observations by censoring the limit of the left side or right side so that a biased outlier is not reflected in the willingness to pay. A survey was conducted by sampling 312 respondents. The mean, median, truncating the willingness of payment were calculated for the six types of the full-text services using the Tobit model. The statistically significant variables affecting the willingness to pay for the full-text services were identified. The mean value of per the full-text service was estimated to be 46,530 won. The significance of this study was to use the Tobit model to estimate the value of the construction technology-related full-text services for the first time in Korea.

• Journal of the Society of Disaster Information
• /
• v.20 no.1
• /
• pp.13-19
• /
• 2024

Purpose: This study provides prevention methods by type of construction disaster using text mining techniques. Method: Based on the database that analyzed the cases of critical disasters in the domestic construction sector, preventive measures and causes are analyzed by text mining techniques, and the contents of the analysis are visually shown. Result: This visual data represents the measures for preventing critical disasters of each process according to the importance. Conclusion: It is believed that the results will be helpful in identifying factors to be considered in preparing preventive measures for serious accidents in construction.

• Journal of Korean language education
• /
• v.28 no.2
• /
• pp.235-264
• /
• 2017

The purpose of this study is to explore and categorize the rhetorical strategies of text construction in research articles and to provide data for academic writing education for foreign graduate students. This study analyzes 30 research articles by Korean writers from Korean language and Korean language education fields, and categorizes the rhetorical strategies according to the roles of the writer as a RA form composer, a manager of research content, and a communicator. On the basis of the strategies, this study analyzes 18 term papers of foreign graduate students and inspects their weaknesses in using the rhetorical strategies. Based on the results of analysis, this study suggests rhetorical strategy education for KAP learners that emphasizes validity and clarifies argument along with attracting readers.

• International conference on construction engineering and project management
• /
• 2024.07a
• /
• pp.1281-1281
• /
• 2024

About 70% of the data generated on building construction sites consists of unstructured data, such as text, photos, videos, etc. However, the text data, which constitutes the largest proportion of unstructured data, has been restrictively utilized. When using standardized data to evaluate safety performance, there are a few difficulties in addressing issues such as lack of data, omissions, and errors. This copes with limitations on the practical evaluation of safety performance on building construction sites. Despite generating extensive text-centric documents, the previous researches on evaluating safety performance levels using unstructured data are still in its infancy. This study proposes a framework for evaluating the safety performance by preprocessing and refining text-based construction supervision documents. In this framework, relevant keywords related to safety performance are extracted from supervision documents, tokenized, and analyzed for association rules among keywords. Based on the results of the association rule analysis, keywords are selected, and the unsatisfactory or satisfactory level of safety performance is quantified using logistic regression analysis, considering the frequency of their occurrence. While the proposed framework focuses on quantifying the safety performance levels of construction sites, it can be expanded to implement integrated performance diagnostics on-site by linking with tools that evaluate diverse performance levels. This extension will allow for a comprehensive assessment of on-site performance. Furthermore, the framework can serve as a tool supporting practical and proactive inspections and responses of safety managers by utilizing unstructured data alongside the traditional approach focused on standardized data for safety performance assessment.

• International conference on construction engineering and project management
• /
• 2024.07a
• /
• pp.689-697
• /
• 2024

According to the South Korean Ministry of Land, Infrastructure, and Transport, instances of defect dispute resolutions, primarily between construction contractors and apartment occupants, have been occurring at an annual average of over 4,000 cases since 2014 to the present day. To address the persistent issue of disputes between contractors and occupants regarding construction defects, it is crucial to use customer sentiment analysis to improve customer rights and guide construction companies in their efforts. This study presents a methodology for effectively managing customer complaints and enhancing feedback analysis in the context of defect repair services. The study begins with collecting and preprocessing customer feedback data. Semantic network analysis is used to understand the causes of discomfort in customer feedback, revealing insights into the emotional sentiments expressed by customers and identifying causal relationships between emotions and themes. This research combines text mining, and semantic network analysis to analyze customer feedback for decision-making. By doing so, defect repair service providers can improve service quality, address customer concerns promptly, and understand the factors behind emotional responses in customer feedback. Through data-driven decision-making, these providers can enhance customer rights and identify areas for construction companies to improve service quality.

• 제어로봇시스템학회:학술대회논문집
• /
• 2000.10a
• /
• pp.289-289
• /
• 2000

In this paper, a new text-based method is suggested for the user-system interaction. The use of text-based user interface is mote efficient under situation which don't be introduced the GUI because of the limitation of hardware cost or improvement of system performance. The dialogical method using suggested hierarchical structure is the easier for a convenience of usage and the method in this paper is the more useful as considering knowledgeable background and environment of task for user As a practical example, the method for the proposed text-based user interface construction is applied to Double-Lift Open Shedding Electronic Jacquard.

• The Journal of the Convergence on Culture Technology
• /
• v.8 no.5
• /
• pp.729-734
• /
• 2022

Various studies using accident cases are being conducted to identify the causes of accidents in the construction industry, but studies on the differences between public and private construction are insignificant. In this study, web scraping and text mining technologies were applied to analyze the causes of accidents by order type. Through statistical analysis and word cloud analysis of more than 10,000 structured and unstructured data collected, it was confirmed that there was a difference in the types and causes of accidents in public and private construction. In addition, it can contribute to the establishment of safety management measures in the future by identifying the correlation between major accident causes.