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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

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.

Original languageEnglish
Title of host publicationCAADRIA 2018 - 23rd International Conference on Computer-Aided Architectural Design Research in Asia
Subtitle of host publicationLearning, Prototyping and Adapting
EditorsSuleiman Alhadidi, Tomohiro Fukuda, Weixin Huang, Patrick Janssen, Kristof Crolla
PublisherThe Association for Computer-Aided Architectural Design Research in Asia (CAADRIA)
Pages515-524
Number of pages10
ISBN (Electronic)9789887891703
Publication statusPublished - 2018 Jan 1
Event23rd International Conference on Computer-Aided Architectural Design Research in Asia: Learning, Prototyping and Adapting, CAADRIA 2018 - Beijing, China
Duration: 2018 May 172018 May 19

Publication series

NameCAADRIA 2018 - 23rd International Conference on Computer-Aided Architectural Design Research in Asia: Learning, Prototyping and Adapting
Volume2

Other

Other23rd International Conference on Computer-Aided Architectural Design Research in Asia: Learning, Prototyping and Adapting, CAADRIA 2018
CountryChina
CityBeijing
Period18-05-1718-05-19

All Science Journal Classification (ASJC) codes

  • Computer Graphics and Computer-Aided Design
  • Building and Construction

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  • Cite this

    Chung, C. C., & Jeng, T. S. (2018). Information extraction methodology by web scraping for smart cities: Using machine learning to train air quality monitor for smart cities. In S. Alhadidi, T. Fukuda, W. Huang, P. Janssen, & K. Crolla (Eds.), CAADRIA 2018 - 23rd International Conference on Computer-Aided Architectural Design Research in Asia: Learning, Prototyping and Adapting (pp. 515-524). (CAADRIA 2018 - 23rd International Conference on Computer-Aided Architectural Design Research in Asia: Learning, Prototyping and Adapting; Vol. 2). The Association for Computer-Aided Architectural Design Research in Asia (CAADRIA).