A fuzzy system for quality assurance of crowdsourced wildlife observation geodata

Hossein Vahidi, Wanglin Yan, Brian Klinkenberg

Research output: Chapter in Book/Report/Conference proceedingConference 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 languageEnglish
Title of host publicationProceedings - International Electronics Symposium on Knowledge Creation and Intelligent Computing, IES-KCIC 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages55-58
Number of pages4
Volume2017-January
ISBN (Electronic)9781538607169
DOIs
Publication statusPublished - 2017 Dec 19
Event6th International Electronics Symposium on Knowledge Creation and Intelligent Computing, IES-KCIC 2017 - Surabaya, Indonesia
Duration: 2017 Sep 262017 Sep 27

Other

Other6th International Electronics Symposium on Knowledge Creation and Intelligent Computing, IES-KCIC 2017
CountryIndonesia
CitySurabaya
Period17/9/2617/9/27

Fingerprint

Fuzzy systems
Fuzzy control
Quality assurance
Control systems

Keywords

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

ASJC Scopus subject areas

  • Artificial Intelligence
  • Signal Processing

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