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 | |
| 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 |
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Keywords
- Citizen Science
- Intrinsic Data Quality Assurance
- Species
- Volunteered Geographic Information
- Wildlife Observation
ASJC Scopus subject areas
- Artificial Intelligence
- Signal Processing
Cite this
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
}
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
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.
ER -