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Challenges in Modeling Geospatial Provenance

Garijo, Daniel; Gil, Yolanda; Harth, Andreas

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 divers 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 user requirements for modeling geospatial provenance.

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Postprint §
DOI: 10.5445/IR/1000092925
Veröffentlicht am 04.09.2019
Coverbild
Zugehörige Institution(en) am KIT Institut für Angewandte Informatik und Formale Beschreibungsverfahren (AIFB)
Publikationstyp Proceedingsbeitrag
Jahr 2014
Sprache Englisch
Identifikator KITopen-ID: 1000092925
Erschienen in Proceedings of the Fifth International Provenance and Annotation Workshop (IPAW), Cologne, Germany, June 9 - 13, 2014
Verlag IPAW, Köln
Externe Relationen Abstract/Volltext
Schlagworte Provenance, geospatial data, metadata, data integration
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