Air quality assessment from social media and structured data: Pollutants and health impacts in urban planning

Xu Du, Onyeka Emebo, Aparna Varde, Niket Tandon, Sreyasi Nag Chowdhury, Gerhard Weikum

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

16 Scopus citations

Abstract

This paper describes our work on mining pollutant data to assess air quality in urban areas. Notable aspects of this work are that we mine social media and structured data in a domain-specific context, incorporate commonsense knowledge in mining media opinions and focus on the urban planning domain in a multicity environment. The results of mining are useful for predictive analysis in urbanization. A significant contribution is that we provide useful information on urban health impacts.

Original languageEnglish
Title of host publication2016 IEEE 32nd International Conference on Data Engineering Workshops, ICDEW 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages54-59
Number of pages6
ISBN (Electronic)9781509021086
DOIs
StatePublished - 20 Jun 2016
Event32nd IEEE International Conference on Data Engineering Workshops, ICDEW 2016 - Helsinki, Finland
Duration: 16 May 201620 May 2016

Publication series

Name2016 IEEE 32nd International Conference on Data Engineering Workshops, ICDEW 2016

Other

Other32nd IEEE International Conference on Data Engineering Workshops, ICDEW 2016
CountryFinland
CityHelsinki
Period16/05/1620/05/16

Keywords

  • Air Pollution
  • Commonsense Knowledge
  • Health Impacts
  • Opinion Mining
  • Predictive Analysis
  • Urban Planning

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    Du, X., Emebo, O., Varde, A., Tandon, N., Chowdhury, S. N., & Weikum, G. (2016). Air quality assessment from social media and structured data: Pollutants and health impacts in urban planning. In 2016 IEEE 32nd International Conference on Data Engineering Workshops, ICDEW 2016 (pp. 54-59). [7495616] (2016 IEEE 32nd International Conference on Data Engineering Workshops, ICDEW 2016). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICDEW.2016.7495616