A fuzzy system for quality assurance of crowdsourced wildlife observation geodata

Hossein Vahidi; Wanglin Yan; Brian Klinkenberg

doi:10.1109/KCIC.2017.8228563

A fuzzy system for quality assurance of crowdsourced wildlife observation geodata

Hossein Vahidi, Wanglin Yan, Brian Klinkenberg

Faculty of Environment and Information Studies

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

3 Citations (Scopus)

Abstract

A conceptual model for quality assurance of species occurrence observations in citizen science projects is described below. We adopted the notion of trust as an indicator of VGI quality and define the concept of trustworthiness of a VGI record as a function of three main contexts: consistency with habitat, consistency with neighbors, and the reputation of the volunteer. Using fuzzy control system the quality of an observation is quantified in terms of the level of the trustworthiness of the volunteered species observation. The architecture of the proposed system is briefly described and some results presented. Finally, our paper ends with concluding remarks and some thoughts for future research directions.

Original language	English
Title of host publication	Proceedings - International Electronics Symposium on Knowledge Creation and Intelligent Computing, IES-KCIC 2017
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	55-58
Number of pages	4
Volume	2017-January
ISBN (Electronic)	9781538607169
DOIs	https://doi.org/10.1109/KCIC.2017.8228563
Publication status	Published - 2017 Dec 19
Event	6th International Electronics Symposium on Knowledge Creation and Intelligent Computing, IES-KCIC 2017 - Surabaya, Indonesia Duration: 2017 Sep 26 → 2017 Sep 27

Other

Other	6th International Electronics Symposium on Knowledge Creation and Intelligent Computing, IES-KCIC 2017
Country	Indonesia
City	Surabaya
Period	17/9/26 → 17/9/27

Keywords

Citizen Science
Intrinsic Data Quality Assurance
Species
Volunteered Geographic Information
Wildlife Observation

ASJC Scopus subject areas

Artificial Intelligence
Signal Processing

Access to Document

10.1109/KCIC.2017.8228563

Fingerprint Dive into the research topics of 'A fuzzy system for quality assurance of crowdsourced wildlife observation geodata'. Together they form a unique fingerprint.

Cite this

Vahidi, H., Yan, W., & Klinkenberg, B. (2017). A fuzzy system for quality assurance of crowdsourced wildlife observation geodata. In Proceedings - International Electronics Symposium on Knowledge Creation and Intelligent Computing, IES-KCIC 2017 (Vol. 2017-January, pp. 55-58). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/KCIC.2017.8228563

A fuzzy system for quality assurance of crowdsourced wildlife observation geodata. / Vahidi, Hossein; Yan, Wanglin; Klinkenberg, Brian.

Proceedings - International Electronics Symposium on Knowledge Creation and Intelligent Computing, IES-KCIC 2017. Vol. 2017-January Institute of Electrical and Electronics Engineers Inc., 2017. p. 55-58.

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

Vahidi, H, Yan, W & Klinkenberg, B 2017, A fuzzy system for quality assurance of crowdsourced wildlife observation geodata. in Proceedings - International Electronics Symposium on Knowledge Creation and Intelligent Computing, IES-KCIC 2017. vol. 2017-January, Institute of Electrical and Electronics Engineers Inc., pp. 55-58, 6th International Electronics Symposium on Knowledge Creation and Intelligent Computing, IES-KCIC 2017, Surabaya, Indonesia, 17/9/26. https://doi.org/10.1109/KCIC.2017.8228563

@inproceedings{7bd6adf1a42f46bda61f7d0fc87d06ff,

title = "A fuzzy system for quality assurance of crowdsourced wildlife observation geodata",

abstract = "A conceptual model for quality assurance of species occurrence observations in citizen science projects is described below. We adopted the notion of trust as an indicator of VGI quality and define the concept of trustworthiness of a VGI record as a function of three main contexts: consistency with habitat, consistency with neighbors, and the reputation of the volunteer. Using fuzzy control system the quality of an observation is quantified in terms of the level of the trustworthiness of the volunteered species observation. The architecture of the proposed system is briefly described and some results presented. Finally, our paper ends with concluding remarks and some thoughts for future research directions.",

keywords = "Citizen Science, Intrinsic Data Quality Assurance, Species, Volunteered Geographic Information, Wildlife Observation",

author = "Hossein Vahidi and Wanglin Yan and Brian Klinkenberg",

year = "2017",

month = dec,

day = "19",

doi = "10.1109/KCIC.2017.8228563",

language = "English",

volume = "2017-January",

pages = "55--58",

booktitle = "Proceedings - International Electronics Symposium on Knowledge Creation and Intelligent Computing, IES-KCIC 2017",

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

note = "6th International Electronics Symposium on Knowledge Creation and Intelligent Computing, IES-KCIC 2017 ; Conference date: 26-09-2017 Through 27-09-2017",

}

TY - GEN

T1 - A fuzzy system for quality assurance of crowdsourced wildlife observation geodata

AU - Vahidi, Hossein

AU - Yan, Wanglin

AU - Klinkenberg, Brian

PY - 2017/12/19

Y1 - 2017/12/19

N2 - A conceptual model for quality assurance of species occurrence observations in citizen science projects is described below. We adopted the notion of trust as an indicator of VGI quality and define the concept of trustworthiness of a VGI record as a function of three main contexts: consistency with habitat, consistency with neighbors, and the reputation of the volunteer. Using fuzzy control system the quality of an observation is quantified in terms of the level of the trustworthiness of the volunteered species observation. The architecture of the proposed system is briefly described and some results presented. Finally, our paper ends with concluding remarks and some thoughts for future research directions.

AB - A conceptual model for quality assurance of species occurrence observations in citizen science projects is described below. We adopted the notion of trust as an indicator of VGI quality and define the concept of trustworthiness of a VGI record as a function of three main contexts: consistency with habitat, consistency with neighbors, and the reputation of the volunteer. Using fuzzy control system the quality of an observation is quantified in terms of the level of the trustworthiness of the volunteered species observation. The architecture of the proposed system is briefly described and some results presented. Finally, our paper ends with concluding remarks and some thoughts for future research directions.

KW - Citizen Science

KW - Intrinsic Data Quality Assurance

KW - Species

KW - Volunteered Geographic Information

KW - Wildlife Observation

UR - http://www.scopus.com/inward/record.url?scp=85046547489&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85046547489&partnerID=8YFLogxK

U2 - 10.1109/KCIC.2017.8228563

DO - 10.1109/KCIC.2017.8228563

M3 - Conference contribution

AN - SCOPUS:85046547489

VL - 2017-January

SP - 55

EP - 58

BT - Proceedings - International Electronics Symposium on Knowledge Creation and Intelligent Computing, IES-KCIC 2017

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 6th International Electronics Symposium on Knowledge Creation and Intelligent Computing, IES-KCIC 2017

Y2 - 26 September 2017 through 27 September 2017

ER -