Abstract

The surge in availability of geospatial data sources, the increased use of crowdsourced maps and the advent of geospatial mashups have brought us to an era where geospatial information is delivered to users after integration from diverse sources. Understanding the provenance of geospatial data is crucial for assessing the quality of the data and addressing whether to trust the information or not. In this paper we describe major challenges for modeling geospatial provenance. We also show how the W3C PROV standard model can be extended with domain specific concepts to address some of these challenges. Further research will be needed to fully support geospatial provenance in ways that are scalable, interoperable, and useful for users.

Date

June 9, 2014

Authors

Daniel Garijo, Yolanda Gil, Andreas Harth

Journal

Proceedings of the fifth international provenance and annotation Workshop (IPAW), Cologne, Germany, June 9

Volume

13

Pages

2014