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Journal of Geographical Systems
Erschienen in: Journal of Geographical Systems 1/2018

30.09.2017 | Original Article

A novel algorithm for fully automated mapping of geospatial ontologies

verfasst von: Sana Chaabane, Wassim Jaziri

Erschienen in: Journal of Geographical Systems | Ausgabe 1/2018

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Abstract

Geospatial information is collected from different sources thus making spatial ontologies, built for the same geographic domain, heterogeneous; therefore, different and heterogeneous conceptualizations may coexist. Ontology integrating helps creating a common repository of the geospatial ontology and allows removing the heterogeneities between the existing ontologies. Ontology mapping is a process used in ontologies integrating and consists in finding correspondences between the source ontologies. This paper deals with the “mapping” process of geospatial ontologies which consist in applying an automated algorithm in finding the correspondences between concepts referring to the definitions of matching relationships. The proposed algorithm called “geographic ontologies mapping algorithm” defines three types of mapping: semantic, topological and spatial.
Vorheriger Artikel Modeling and simulating industrial land-use evolution in Shanghai, China
Nächster Artikel Erratum to: Housing price prediction: parametric versus semi-parametric spatial hedonic models

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Fußnoten
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Metadaten
Titel
A novel algorithm for fully automated mapping of geospatial ontologies
verfasst von
Sana Chaabane
Wassim Jaziri
Publikationsdatum
30.09.2017
Verlag
Springer Berlin Heidelberg
Erschienen in
Journal of Geographical Systems / Ausgabe 1/2018
Print ISSN: 1435-5930
Elektronische ISSN: 1435-5949
DOI
https://doi.org/10.1007/s10109-017-0263-0

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Erratum to: Housing price prediction: parametric versus semi-parametric spatial hedonic models