Information extraction methodology by web scraping for smart cities: Using machine learning to train air quality monitor for smart cities

Chia Chun Chung, Tay Sheng Jeng

研究成果: Conference contribution

1 引文 斯高帕斯(Scopus)

摘要

This paper presents an opportunistic sensing system for air quality monitoring to forecast the implicit factors of air pollution. Opportunistic sensing is performed by web scraping in the social network service to extract information. The data source for the air quality analysis combines two types of information: explicit and implicit information. The objective is to develop the information extraction methodology by web scraping for smart cities. The application development methodology has potential for solving real-world problems such as air pollution by data comparison between social activity observing and data collecting in sensor network.

原文English
主出版物標題CAADRIA 2018 - 23rd International Conference on Computer-Aided Architectural Design Research in Asia
主出版物子標題Learning, Prototyping and Adapting
編輯Suleiman Alhadidi, Tomohiro Fukuda, Weixin Huang, Patrick Janssen, Kristof Crolla
發行者The Association for Computer-Aided Architectural Design Research in Asia (CAADRIA)
頁面515-524
頁數10
ISBN(電子)9789887891703
出版狀態Published - 2018
事件23rd International Conference on Computer-Aided Architectural Design Research in Asia: Learning, Prototyping and Adapting, CAADRIA 2018 - Beijing, China
持續時間: 2018 五月 172018 五月 19

出版系列

名字CAADRIA 2018 - 23rd International Conference on Computer-Aided Architectural Design Research in Asia: Learning, Prototyping and Adapting
2

Other

Other23rd International Conference on Computer-Aided Architectural Design Research in Asia: Learning, Prototyping and Adapting, CAADRIA 2018
國家/地區China
城市Beijing
期間18-05-1718-05-19

All Science Journal Classification (ASJC) codes

  • 電腦繪圖與電腦輔助設計
  • 建築與營造

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