A Linked Data Approach for Geospatial Data Provenance

@article{Yuan2013ALD,
  title={A Linked Data Approach for Geospatial Data Provenance},
  author={Jie Yuan and Peng Yue and Jianya Gong and Mingda Zhang},
  journal={IEEE Transactions on Geoscience and Remote Sensing},
  year={2013},
  volume={51},
  pages={5105-5112}
}
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… CONTINUE READING

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  • 2017
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  • 2016 IEEE 25th International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises (WETICE)
  • 2016
VIEW 2 EXCERPTS
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  • 2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
  • 2015
VIEW 1 EXCERPT

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References

Publications referenced by this paper.
SHOWING 1-10 OF 29 REFERENCES

Sharing geospatial provenance in a service-oriented environment

  • Computers, Environment and Urban Systems
  • 2011
VIEW 10 EXCERPTS
HIGHLY INFLUENTIAL

Dec.). PROV-DM: The PROV Data Model, W3C Working Draft [Online

L. Moreau, P. Missier
  • 2012
VIEW 2 EXCERPTS

SPARQL 1.1 Query Language. W3C Recommendation [Online

S. Harris, A. Seaborne
  • 2012
VIEW 2 EXCERPTS

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