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

doi:10.1109/ICDEW.2016.7495616

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

Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

32 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 language	English
Title of host publication	2016 IEEE 32nd International Conference on Data Engineering Workshops, ICDEW 2016
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	54-59
Number of pages	6
ISBN (Electronic)	9781509021086
DOIs	https://doi.org/10.1109/ICDEW.2016.7495616
State	Published - 20 Jun 2016
Event	32nd IEEE International Conference on Data Engineering Workshops, ICDEW 2016 - Helsinki, Finland Duration: 16 May 2016 → 20 May 2016

Publication series

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

Other

Other	32nd IEEE International Conference on Data Engineering Workshops, ICDEW 2016
Country/Territory	Finland
City	Helsinki
Period	16/05/16 → 20/05/16

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 11 Sustainable Cities and Communities

Keywords

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

Access to Document

10.1109/ICDEW.2016.7495616

Cite this

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). Article 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

Du, Xu ; Emebo, Onyeka ; Varde, Aparna et al. / Air quality assessment from social media and structured data : Pollutants and health impacts in urban planning. 2016 IEEE 32nd International Conference on Data Engineering Workshops, ICDEW 2016. Institute of Electrical and Electronics Engineers Inc., 2016. pp. 54-59 (2016 IEEE 32nd International Conference on Data Engineering Workshops, ICDEW 2016).

@inproceedings{bca4e50b61c4468790aaa355aa01cfc2,

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

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.",

keywords = "Air Pollution, Commonsense Knowledge, Health Impacts, Opinion Mining, Predictive Analysis, Urban Planning",

author = "Xu Du and Onyeka Emebo and Aparna Varde and Niket Tandon and Chowdhury, \{Sreyasi Nag\} and Gerhard Weikum",

note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 32nd IEEE International Conference on Data Engineering Workshops, ICDEW 2016 ; Conference date: 16-05-2016 Through 20-05-2016",

year = "2016",

month = jun,

day = "20",

doi = "10.1109/ICDEW.2016.7495616",

language = "English",

series = "2016 IEEE 32nd International Conference on Data Engineering Workshops, ICDEW 2016",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "54--59",

booktitle = "2016 IEEE 32nd International Conference on Data Engineering Workshops, ICDEW 2016",

}

Du, X, Emebo, O, Varde, A, Tandon, N, Chowdhury, SN & 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., 7495616, 2016 IEEE 32nd International Conference on Data Engineering Workshops, ICDEW 2016, Institute of Electrical and Electronics Engineers Inc., pp. 54-59, 32nd IEEE International Conference on Data Engineering Workshops, ICDEW 2016, Helsinki, Finland, 16/05/16. https://doi.org/10.1109/ICDEW.2016.7495616

Air quality assessment from social media and structured data: Pollutants and health impacts in urban planning. / Du, Xu; Emebo, Onyeka; Varde, Aparna et al.
2016 IEEE 32nd International Conference on Data Engineering Workshops, ICDEW 2016. Institute of Electrical and Electronics Engineers Inc., 2016. p. 54-59 7495616 (2016 IEEE 32nd International Conference on Data Engineering Workshops, ICDEW 2016).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Air quality assessment from social media and structured data

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AU - Du, Xu

AU - Emebo, Onyeka

AU - Varde, Aparna

AU - Tandon, Niket

AU - Chowdhury, Sreyasi Nag

AU - Weikum, Gerhard

PY - 2016/6/20

Y1 - 2016/6/20

N2 - 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.

AB - 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.

KW - Air Pollution

KW - Commonsense Knowledge

KW - Health Impacts

KW - Opinion Mining

KW - Predictive Analysis

KW - Urban Planning

UR - https://www.scopus.com/pages/publications/84982843540

U2 - 10.1109/ICDEW.2016.7495616

DO - 10.1109/ICDEW.2016.7495616

M3 - Conference contribution

AN - SCOPUS:84982843540

T3 - 2016 IEEE 32nd International Conference on Data Engineering Workshops, ICDEW 2016

SP - 54

EP - 59

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

PB - Institute of Electrical and Electronics Engineers Inc.

Y2 - 16 May 2016 through 20 May 2016

ER -

Du X, Emebo O, Varde A, Tandon N, Chowdhury SN, Weikum G. 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. Institute of Electrical and Electronics Engineers Inc. 2016. p. 54-59. 7495616. (2016 IEEE 32nd International Conference on Data Engineering Workshops, ICDEW 2016). doi: 10.1109/ICDEW.2016.7495616

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

Abstract

Publication series

Other

UN SDGs

Keywords

Access to Document

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