论文标题
基于文本挖掘的自动规则检查AEC中的专利分析
Text Mining-Based Patent Analysis for Automated Rule Checking in AEC
论文作者
论文摘要
自动化规则检查（ARC）有望促进建筑，工程和构建（AEC）行业中合规性检查过程的效率，它正在越来越关注。阐明ARC应用程序热点和预测其趋势对相关研究和推动创新有用。 Therefore, this study takes the patents from the database of the Derwent Innovations Index database (DII) and China national knowledge infrastructure (CNKI) as data sources and then carried out a three-step analysis including (1) quantitative characteristics (i.e., annual distribution analysis) of patents, (2) identification of ARC topics using a latent Dirichlet allocation (LDA) and, (3) SNA-based弧主题的共同出现分析。结果表明，中国和英国专利的研究热点和趋势不同。这项研究的贡献有三个方面：（1）引入了多种文本挖掘方法（即SNA和LDA），对专利进行全面分析的方法； （2）根据专利分析对ARC的应用热点和开发趋势进行了审查； （3）提供了技术发展和弧创新的路标。
Automated rule checking (ARC), which is expected to promote the efficiency of the compliance checking process in the architecture, engineering, and construction (AEC) industry, is gaining increasing attention. Throwing light on the ARC application hotspots and forecasting its trends are useful to the related research and drive innovations. Therefore, this study takes the patents from the database of the Derwent Innovations Index database (DII) and China national knowledge infrastructure (CNKI) as data sources and then carried out a three-step analysis including (1) quantitative characteristics (i.e., annual distribution analysis) of patents, (2) identification of ARC topics using a latent Dirichlet allocation (LDA) and, (3) SNA-based co-occurrence analysis of ARC topics. The results show that the research hotspots and trends of Chinese and English patents are different. The contributions of this study have three aspects: (1) an approach to a comprehensive analysis of patents by integrating multiple text mining methods (i.e., SNA and LDA) is introduced ; (2) the application hotspots and development trends of ARC are reviewed based on patent analysis; and (3) a signpost for technological development and innovation of ARC is provided.
