Abstract

The growing availability of geospatial data online, the increased use of crowdsourced maps and the advent of geospatial mash-ups have led to systems that deliver data to users after integration from many sources. In such systems, understanding the provenance of geospatial data is crucial for assessing the quality of the data and deciding on whether to rely on the data for decision making. To be able to use and analyze provenance in geospatial integration systems in a principled manner, we identify different levels of provenance in the geospatial domain, provide a set of provenance questions from the point of view of end users, and relate our geospatial provenance model to the W3C PROV recommendation.

Date

March 15, 2026

Authors

Daniel Garijo, Yolanda Gil, Andreas Harth

Conference

Provenance and Annotation of Data and Processes: 5th International Provenance and Annotation Workshop, IPAW 2014, Cologne, Germany, June 9-13, 2014. Revised Selected Papers 5

Pages

261-263

Publisher

Springer International Publishing