Analyses linguistiques et techniques d’alignement pour créer et enrichir une ontologie topographique

Mustière, Sébastien; Abadie, Nathalie; Aussenac-Gilles, Nathalie; Bessagnet, Marie-Noelle; Kamiel, Mouna; Kergosien, Eric; Reynaud, Chantal; Safar, Brigitte; Sallaberry, Christian

doi:10.3166/rig.21.155-179

Cited by 2 publications

(3 citation statements)

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“…In this paper, for identifying landmarks in mountain area, many types of landmarks are not represented in authoritative gazetteer. Thus, a further research is to identify all types of landmarks not presented in authoritative data and to expand the ontology of authoritative data (Mustière et al, 2011). Routes matching results indicate some weaknesses in our definition.…”

Section: Discussionmentioning

confidence: 96%

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Potential of crowdsourced data for integrating landmarks and routes for rescue in mountain areas

Olteanu‐Raimond¹,

Méneroux²

2019

International Journal of Cartography

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Many different websites offer the opportunity to share and download landmarks and routes produced by the crowd. Landmarks near to a route or routes passing near to some landmarks may help in the context of mountain rescue. Therefore, it is necessary to identify relevant data sources and to describe their characteristics. In this paper, we set out to explore the potential of crowdsourced data in order to be considered such as data sources in the context of mountain rescue. Thus, our aim is to study the content of different sources to have a better knowledge on how landmarks and routes are mapped, to demonstrate the complementarity of crowdsourced data with respect with authoritative data, and to study the feasibility of defining links between routes and landmarks. The proposed method used integration techniques such as map matching, route construction and data matching. The results show that the large number of nonmatched features proves the richness of crowdsourced data. The matching results generate new semantic rules for both type of landmarks and geometries of route.

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Section: Discussionmentioning

confidence: 96%

“…Finally, the semantic criterion compares feature types. To compute similarities between features types the Wu-Palmer (Wu-Palmer) measure is applied by using domain ontology (Mustière et al, 2011). All these criteria are merged to take a final decision.…”

Section: Methodsmentioning

confidence: 99%

Potential of crowdsourced data for integrating landmarks and routes for rescue in mountain areas

Olteanu‐Raimond¹,

Méneroux²

2019

International Journal of Cartography

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“…We are therefore also working on the definition of an ontology of reference features, focused on mountain context. This one is based on the GEONTO ontology proposed by Mustière et al (2011).…”

Section: Spatial Relationsmentioning

confidence: 99%

An approach for identifying and analysing reference features and spatial relations used in mountain emergency calls

Bunel¹,

Duchêne²,

Olteanu‐Raimond³

et al. 2019

Proc. Int. Cartogr. Assoc.

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<p><strong>Abstract.</strong> The CHOUCAS project aims at helping mountain rescue services to locate a victim who describes her location by means of spatial relations with reference geographic features. In this context, the study presented in this paper aims at better understanding what reference features and spatial relations are used to locate oneself in a mountain area, with the ultimate aim of designing tools to help the rescuers. Audio tapes of real emergency calls were used as starting material. The core of the work is the design of a template to transcribe the location information contained in these calls while structuring it. A first analysis of the transcribed calls shows that projective or directional static spatial relations are the most used, and that a finer classification of reference features and spatial relations is needed. In order to synthetically present the location information contained in a call, an additional representation by means of a sketch map with a dedicated symbolisation is proposed.</p>

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Analyses linguistiques et techniques d’alignement pour créer et enrichir une ontologie topographique

Cited by 2 publications

References 10 publications

Potential of crowdsourced data for integrating landmarks and routes for rescue in mountain areas

Potential of crowdsourced data for integrating landmarks and routes for rescue in mountain areas

An approach for identifying and analysing reference features and spatial relations used in mountain emergency calls

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