智慧城市研究的获取与分析
Acquisition and Analysis of the Research of Smart City
DOI: 10.12677/CSA.2018.88130, PDF,    国家自然科学基金支持
作者: 饶加旺*：江苏省测绘工程院，江苏 南京；杨颜颜：金陵中学龙湖分校，江苏 南京；马荣华：中国科学院南京地理与湖泊研究所，江苏 南京
关键词: 智慧城市；R语言；网络爬虫；文本挖掘；Smart City； R Language； Web Crawler； Text Mining
摘要: 针对智慧城市研究的不足，尤其在收集大量研究文献的基础上对智慧城市进行整体研究上的欠缺，本文基于R语言设计了网络爬虫程序，高效的、稳定的获取了中国知网收录的2018年4月前以智慧城市为主题的各类研究文献，并构建了智慧城市文献数据库，在此基础上通过建立的自动分词模型，提取了地名、关键词和高频词信息。通过分析智慧城市研究的时序性、空间分布特征、文献来源和研究热点，揭示了智慧城市研究的发展历程、现状、研究热点并展望了其发展趋势。结果表明，本文设计的网络爬虫程序在获取智慧城市研究文献上具有可行性和高效性，研究成果可为政府决策提供辅助性支持。
Abstract: Aiming at the shortage of the research on smart city, especially the lack of collecting a large number of research literature on the basis of overall study on smart city, based on the R language and the network construction of National Knowledge Infrastructure (CNKI), the web crawler was designed, and research papers of smart city were efficiently accessed. Literature database of smart city had been built. Automatic word segmentation model was established, based on the technology of text mining, and then the names of places, keywords and high frequency information were identified and extracted. The time and space distribution characteristics of the smart city, the source of literature and the research hot spot were studied and the research status, research hotspots and developing trends of smart city were revealed overall. Results showed that the web crawler that had been designed in this article performed high feasibility and effectiveness on collecting smart city research literature. The results can provide auxiliary support for government decision-making.
文章引用：饶加旺, 杨颜颜, 马荣华. 智慧城市研究的获取与分析[J]. 计算机科学与应用, 2018, 8(8): 1183-1194. https://doi.org/10.12677/CSA.2018.88130

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