DocumentCode :
47375
Title :
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
Link To Document :
بازگشت