Granularity of geospatial data provenance

Author

Peng Yue ; Mingda Zhang ; Xia Guo ; Zhenyu Tan

Author_Institution

State Key Lab. of Inf. Eng. in Surveying, Wuhan Univ., Wuhan, China

fYear

2014

fDate

13-18 July 2014

Firstpage

4492

Lastpage

4495

Abstract

Provenance, the lineage of data products, has been identified as a basic research issue in distributed data and information infrastructures. Provenance could be captured at different levels of granularity. This paper investigates the granularity of provenance for both vector and raster data. In particular, it focuses on the feature and pixel level provenance, and their management in a distributed information environment. The approach is to augment existing geospatial services with provenance awareness. The results show how the provenance with different granularity can be supported in a service-oriented environment enabled by OGC services such as Web Coverage Services, Web Feature Services, Web Processing Services, thus creating a provenance-aware Geo-Cyber infrastructure.

Keywords

Internet; geophysics computing; service-oriented architecture; OGC services; data infrastructures; distributed information environment; geocyber infrastructure; geospatial data provenance; geospatial services; granularity; information infrastructures; pixel level provenance; raster data; service-oriented environment; vector data; web coverage services; web feature services; web processing services; Distributed databases; Geometry; Geoscience; Geospatial analysis; Standards; Vectors; Web services; Cyberinfrastructure; Geoprocessing Workflow; Geospatial Services; OGC; Provenance;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium (IGARSS), 2014 IEEE International

Conference_Location

Quebec City, QC

Type

conf

DOI

10.1109/IGARSS.2014.6947490

Filename

6947490