Data fusion method for digital gazetteer

@article{Cheng2010DataFM,
  title={Data fusion method for digital gazetteer},
  author={Gang Cheng and Xiaoping Lu and Xiaosan Ge and Haiyang Yu and Yupeng Wang and Xiaotian Ge},
  journal={2010 18th International Conference on Geoinformatics},
  year={2010},
  pages={1-4}
}
Nowadays, digital gazetteers are proliferating in number and applied broadly in the location-based services. They are distributed in departments of government and various vendors, and repetitive efforts have been made to establish them which cost a lot of time and money. Frequently, to retrieve all-around information about a place, users have to consult several gazetteers and combine the results. In addition, we often develop a new gazetteer by integrating two or more sources of gazetteer data… CONTINUE READING

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References

Publications referenced by this paper.
SHOWING 1-10 OF 12 REFERENCES

Automatoed conflation of digital gazetteer data

  • J. T. Hastings
  • International Journal of Geographical Information…
  • 2008
1 Excerpt

Hill,"Introduction to digital gazetteer research.

  • M. F. Goodchild, L L.
  • International Journal of Geographical Information…
  • 2008
1 Excerpt

Hill, “Georeferencing: the geographic associations of information”Cambridge,MA: MIT Press,2006

  • L L
  • 2006
1 Excerpt

Abdelmoty,“Building a geographical ontology for intelligent spatial search on the Web

  • F. Fu, C. B. Jones, I A.
  • In Proceedings of IASTED International Conference…
  • 2005
1 Excerpt

Frontiera,"A probabilistic approach to spatial ranking for geographic information retrieval

  • P L.
  • PhD dissertation,
  • 2004
1 Excerpt

Georeferencing in digital libraries

  • L. L. Hill
  • ”,D-Lib Magazine,
  • 2004
1 Excerpt

Egenhofer,"Determining semantic similarity among entity classes from different ontologies

  • M. A. Rodriguez, J M.
  • IEEE Transactions on Knowledge and Data…
  • 2003
1 Excerpt

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