Ontology and semantic enable spatial data discovery and integration

Hong Fan; Hao Feng

doi:10.1117/12.834077

30 October 2009 Ontology and semantic enable spatial data discovery and integration

Hong Fan, Hao Feng

Proceedings Volume 7498, MIPPR 2009: Remote Sensing and GIS Data Processing and Other Applications; 74980X (2009) https://doi.org/10.1117/12.834077
Event: Sixth International Symposium on Multispectral Image Processing and Pattern Recognition, 2009, Yichang, China

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.

Citation Download Citation

Hong Fan and Hao Feng "Ontology and semantic enable spatial data discovery and integration", Proc. SPIE 7498, MIPPR 2009: Remote Sensing and GIS Data Processing and Other Applications, 74980X (30 October 2009); https://doi.org/10.1117/12.834077

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