Abstract
This paper presents the application of PROV to geospatial data. In particular, it is applied to the vector model, where geospatial phenomena are represented as a collection of individual objects (called features) that are described with a lot of geographical (point, lines, polygons, etc.) and nongeographical (names, measures, etc.) properties (sometimes called attributes). We present an approach to describe in W3C PROV the distributed data sources and the processes involved in the generation/revision of a geospatial dataset.
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CITATION STYLE
Masó, J., Closa, G., & Gil, Y. (2015). Applying W3C PROV to express geospatial provenance at feature and attribute level. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8628, pp. 271–274). Springer Verlag. https://doi.org/10.1007/978-3-319-16462-5_31
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