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Proceedings Paper

Ontology and semantic enable spatial data discovery and integration
Author(s): Hong Fan; Hao Feng
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Paper Abstract

This paper focuses on RDF and ontology and semantic-enable geo-spatial data discovery and integration. The Wuhan administrative semantic model as a part of urban topographical semantic model was firstly proposed to support the service utilities discovery in the urban area. Based on Oracle 11g semantic tools, the semantic model is stored into database, and ontology based querying, rule based reasoning, and ontology enable data discovery and integration are implemented. The experiment results are presented and analyzed in this paper, which show this semantic way can provide much more flexible, smart discovery ability that the traditional way can't offer, and semantic enable data discovery and integration has a good application prospect.

Paper Details

Date Published: 30 October 2009
PDF: 6 pages
Proc. SPIE 7498, MIPPR 2009: Remote Sensing and GIS Data Processing and Other Applications, 74980X (30 October 2009); doi: 10.1117/12.834077
Show Author Affiliations
Hong Fan, Wuhan Univ. (China)
Hao Feng, Wuhan Univ. (China)

Published in SPIE Proceedings Vol. 7498:
MIPPR 2009: Remote Sensing and GIS Data Processing and Other Applications
Faxiong Zhang; Faxiong Zhang, Editor(s)

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