A Linked Data Approach for Geospatial Data Provenance

Author

Jie Yuan ; Peng Yue ; Jianya Gong ; Mingda Zhang

Author_Institution

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

Volume

51

Issue

11

fYear

2013

fDate

Nov. 2013

Firstpage

5105

Lastpage

5112

Abstract

Geospatial data provenance records sources and processing steps that are used in deriving geospatial data products. In the Web of Data environment enabled by Linked Data technologies, sources and processing steps, such as geospatial data and geoprocessing services, can be published as part of the Web of Data. To take full advantages of the machine-understandable format and linkages among heterogeneous data items in the Web of Data, this paper proposes to publish geospatial data provenance into the Web of Data. In particular, it analyzes how a catalogue for provenance, i.e., geospatial data provenance managed by a geospatial metadata catalog service, can be published into the Web of Data using a Linked Data approach. Consequently, queries over linked geospatial data provenance are analyzed and tested to demonstrate the benefits of the approach.

Keywords

Internet; cataloguing; meta data; ontologies (artificial intelligence); Linked Data technologies; Web of Data environment; geoprocessing services; geospatial data products; geospatial data provenance; geospatial metadata catalog service; heterogeneous data items; machine-understandable format; ontologies; processing steps; Catalogs; Geospatial analysis; Ontologies; Organizations; Resource description framework; Semantics; Spatial databases; Catalog service; geospatial data provenance; linked data; ontology; web of data;

fLanguage

English

Journal_Title

Geoscience and Remote Sensing, IEEE Transactions on

Publisher

ieee

ISSN

0196-2892

Type

jour

DOI

10.1109/TGRS.2013.2249523

Filename

6513250