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An ontology framework for quality of geographical information services
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Geographic Information Systems archive
Proceedings of the 16th ACM SIGSPATIAL international conference on Advances in geographic information systems table of contents
Irvine, California
POSTER SESSION: Poster session table of contents
Article No. 64  
Year of Publication: 2008
ISBN:978-1-60558-323-5
Authors
Richard Onchaga  ITC, Enschede, The Netherlands
Ing Widya  University of Twente, Enschede, The Netherlands
Javier Morales  ITC, Enschede, The Netherlands
J. M. Lambert  Nieuwenhuis University of Twente, Enschede, The Netherlands
Sponsors
: Google
: Oak Ridge National Laboratory
: ESRI
Microsoft : Microsoft
Publisher
ACM  New York, NY, USA
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ABSTRACT

In recent years, there has been much research on ontologies for geographic information (GI) services. But to date, focus has been on semantics of data and operations. Much less attention has been given to semantics of quality of GI services. In addressing this gap, this paper proposes an ontology framework for quality of GI services. The framework has an upper ontology, two primary domain ontologies and potentially many application ontologies. The ontologies provide concepts for unambiguously defining and reasoning about quality of GI services. We see the main strength of the framework as being its holistic view of quality; it integrates data quality and quality of service (QoS) which hitherto have been defined separately. Besides, the framework builds on established data quality and QoS concepts which guarantees its relevance and acceptance.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
1
A. Agumya and G. J. Hunter. Determining fitness for use of geographic information. ITC Journal, 2, 1997.
 
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S. C. for Biomedical Informatics Research. Protégé ontology editor and knowledge acquisition system. http://protege.stanford.edu.
 
4
R. S. GmbH. Racerpro version 1.9. http://www.racer-systems.com.
 
5
ISO/TC211. ISO 19113 Geographic Information - Quality Principles. ISO, 2002.
 
6
 
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R. Onchaga. Quality ontology. http://www.geocities.com/onchagamoses/qualityontology.html, 2008.
 
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C. P. Yang, D. W. Wong, R. Yang, M. Kafatos, and Q. Li. Performance-improving techniques in web-based GIS. Int. J. Geographical Information Science, 19(3):319--342, 2005.

Collaborative Colleagues:
Richard Onchaga: colleagues
Ing Widya: colleagues
Javier Morales: colleagues
J. M. Lambert: colleagues