A provenance approach to assess the quality of geospatial data

Authors:
Joana E. G. Malaverri;Claudia Bauzer Medeiros;Rubens Camargo Lamparelli
Affiliations:
University of Campinas, Campinas, SP, Brazil;University of Campinas, Campinas, SP, Brazil;University of Campinas, Campinas, SP, Brazil
Venue:
Proceedings of the 27th Annual ACM Symposium on Applied Computing
Year:
2012

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Abstract

Geographic information is present in our daily lives. This pervasiveness is also at the origin of several problems, including heterogeneity and trustworthiness - of the data sources, of the data providers, and of the data products derived from the original sources. Most efforts to improve this situation concentrate on establishing data collection and cura-tion standards, and quality metadata. This paper extends these efforts by presenting an approach to assess quality of geospatial data based on provenance.