Ontologies for Geospatial information: progress and challenges ahead
Article dans une revue avec comité de lecture
Date
2020Journal
Journal of spatial information science - JOSISAbstract
Over the past 50 years or so the representation of spatial information within computerized systems has been widely addressed and developed in order to provide suitable data manipulation, analysis, and visualisation mechanisms. The range of applications is unlimited and nowadays impacts almost all sciences and practices. However, current conceptualisations and numerical representations of geospatial information still require the development of richer abstract models that match the complexity of spatial and temporal information. Geospatial ontologies are promising modelling alternatives that might favour the implementation and sharing of geographical information. The objective of this vision paper is to provide a short introduction to the principles behind semantic ontologies and how they can be applied to complex geospatial information, by evaluating their potential and limitations.
Files in this item
- Name:
- IRENav-Claramunt-2020-JOSIS.pdf
- Size:
- 332.6Kb
- Format:
- Description:
- Article principal
Collections
Related items
Showing items related by title, author, creator and subject.
-
Article dans une revue avec comité de lectureAFYOUNI, Imad; RAY, Cyril; CLARAMUNT, Christophe (2012-06)This paper surveys indoor spatial models developed for research fields ranging from mobile robot mapping, to indoor location-based services (LBS), and most recently to context-aware navigation services applied to indoor ...
-
Article dans une revue avec comité de lectureThis paper surveys indoor spatial models developed for research fields ranging from mobile robot mapping, to indoor location-based services (LBS), and most recently to context-aware navigation services applied to indoor ...
-
Article dans une revue avec comité de lectureThe modeling of a landscape environment is a cognitive activity that requires appropriate spatial representations. The research presented in this paper introduces a structural and semantic categorization of a landscape ...
-
Article dans une revue avec comité de lectureLEIBOVICI, Didier G.;
CLARAMUNT, Christophe; LE GUYADER, Damien;
BROSSET, David (Taylor & Francis, 2014)
When it comes to characterize the distribution of ‘things’ observed spatially and identified by their geometries and attributes, the Shannon entropy has been widely used in different domains such as ecology, regional ... -
Article dans une revue avec comité de lectureWAKAMIYA, Shoko; BELOUAER, Lamia;
BROSSET, David; KAWAI, Yukiko;
CLARAMUNT, Christophe; SUMIYA, Kazutoshi (2015)
The research introduced in this paper develops a semantic model whose objective is to analyze the geographical and emotion-based distribution of tweets at a large country scale. The approach extracts and categorizes tweets ...

