Geo-ontology enrichment through reverse engineering
Article No.: 49, Pages 1 - 4
Abstract
The current ontology matchers usually expect the ontologies to be described with the same semantic granularity. In this work we address the issue of enriching a geographic ontology by inferring topological from its instances. Moreover, we present a method for (re)constructing the ontology taxonomy by combining some reverse engineering techniques and the comparison with a reference ontology. This allows the homogenization of the semantic granularity of the ontologies to be matched in a later step. Our proposal goes a little bit further and also enables the complete (re)definition of the ontology concepts in case of only the instances are available, by extracting all the needed information from the instances' OWL tags.
References
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M. Duckham and M. F. Worboys. An algebraic approach to automated geospatial information fusion. International Journal of Geographical Information Science, 19(5):537--557, 2005.
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M. J. Egenhofer and R. D. Franzosa. Point set topological relations. International Journal of Geographical Information Systems, 5:161--174, 1991.
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G. N. Hess, C. Iochpe, and S. Castano. Geographic ontology matching with ig-match. In D. Papadias, D. Zhang, and G. Kollios, editors, SSTD, volume 4605 of Lecture Notes in Computer Science, pages 185--202. Springer, 2007.
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OGC. GO-1 Application Objects (document OGC 03-064r10). Available at <http://portal.opengeospatial.org>. Accessed in 2008. Open GIS Consortium, 2005.
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Index Terms
- Geo-ontology enrichment through reverse engineering
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Published In
November 2008
559 pages
ISBN:9781605583235
DOI:10.1145/1463434
- Program Chairs:
- Walid G. Aref,
- Mohamed F. Mokbel,
- Markus Schneider
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- ESRI
- Google Inc.
- Oak Ridge National Laboratory
- Microsoft: Microsoft
- SIGSPATIAL: ACM Special Interest Group on Spatial Information
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Association for Computing Machinery
New York, NY, United States
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Published: 05 November 2008
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GIS '08
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- Microsoft
- SIGSPATIAL
GIS '08: 16th International Symposium on Advances in Geographic Information Systems
November 5 - 7, 2008
California, Irvine
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Overall Acceptance Rate 257 of 1,238 submissions, 21%
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