Standards Conformance Metrics for Geospatial Linked Data

This paper describes a set of new Geospatial Linked Data (GLD) quality metrics based on ISO and W3C spatial standards for monitoring geospatial data production. The Luzzu quality assessment framework was employed to implement the metrics and evaluate a set of five public geospatial datasets. Despite the availability of metrics-based quality assessment tools for Linked Data, there is a lack of dedicated quality metrics for GLD, as well as, no metrics were found based on geospatial data standards and best practices. This paper provides nine new metrics and a first assessment of public datasets for geospatial standards compliance. Our approach also demonstrates the effectiveness of developing new quality metrics through analysis of the requirements defined in relevant standards.