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Automated mapping for geospatial ontologies integration
Journal article   Open access  Peer reviewed

Automated mapping for geospatial ontologies integration

Sana Chaabane and Wassim Jaziri
Annals of GIS, Vol.23(4), pp.269-279
02/10/2017

Abstract

Geography Geography, Physical Physical Geography Physical Sciences Remote Sensing Science & Technology Social Sciences Technology
This paper proposes a novel method to overcome the geospatial ontologies heterogeneity by developing an algorithm for their fully automated mapping. The proposed algorithm, called Geospatial Ontology Mapping Algorithm (GOMA), defines three types of mapping: semantic, topological and spatial. The proposed algorithm is applied to the road domain of Sfax city and revealed correspondences between concepts that would serve to building a resulting integrated ontology.
url
https://doi.org/10.1080/19475683.2017.1368706View
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