AGILE 2016: presentation of AGORA Research Group on quality assessment of VGI
The AGILE (Association of Geographic Information Laboratories in Europe) Conference seeks to promote academic teaching and research on GIS (Geographic Information Science) at the European level and provides a permanent scientific forum where researchers can meet and exchange ideas. This year the 19th AGILE Conference on Geographic Information Science was held in Helsinki, Finland, between June 14th and June 17th (2016).
Several pre conference workshops were held on June 14th, 2016. One member of the AGORA Project, Lívia Castro Degrossi, presented her work at the Link-VGI Workshop – LINKing and analyzing Volunteered Geographic Information (VGI) across different platforms. The workshop aimed to provide an opportunity for researchers to share ideas on cross-platform data contributions.
Lívia Degrossi discussed the main idea of her PhD project in a talk entitled “A conceptual model for quality assessment of VGI for the purpose of flood management” (The article can be found here). The conference, and in particular the workshop, was a great opportunity to discuss ideas, to identify potential future work, and establish new collaborations for the AGORA Research Group. Moreover, it was a great opportunity to know the current research of the European community of Geoinformatics.
Title: A conceptual model for quality assessment of VGI for the purpose of flood management
Abstract: Volunteered Geographic Information (VGI) has emerged as a potential source of geographic information for different domains. Despite the many advantages associated with it, such information lacks of quality assurance, since it is provided by individuals with different motivations and backgrounds. In response to this, several methods have been proposed to assess the quality of volunteered geographic information of different platforms. However, there has been little investigation aimed at explaining how cross-platform data could be used for quality assessment. Moreover, it is not clear how the volunteer could be inserted in the quality assessment process in order to improve the overall quality. In this paper, we propose a conceptual model to assess the quality of volunteered geographic information for the purpose of flood management that combines cross-platform data, i.e. OpenStreetMap and social media data, and authoritative data. This model is part of an ongoing research for the development of an approach for quality assessment of VGI in a flood citizen observatory.