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 |
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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 |
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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