Representing Uncertainty in Visual Integration

Bilal Berjawi; Elisabeth Chesneau; Fabien Duchateau; Franck Favetta; Claire Cunty; Maryvonne Miquel; Robert Laurini

Representing Uncertainty in Visual Integration

Bilal Berjawi ¹ Elisabeth Chesneau Fabien Duchateau ¹ Franck Favetta ¹ Claire Cunty Maryvonne Miquel ¹ Robert Laurini ¹

1 BD - Base de Données

LIRIS - Laboratoire d'InfoRmatique en Image et Systèmes d'information

Abstract : Multiple cartographic providers propose services displaying points of interests (POI) on maps. However, the provided POIs are often incomplete and contradictory from one provider to another. Previous works proposed solutions for detecting correspondences between spatial entities that refer to the same geographic object. Although one can visualize the result of the integration of corresponding entities, users do not have any information about the quality of this integration. In this paper, we propose a solution to visualize the uncertainty inherent to a spatial integration algorithm. We present an integration process that identifies three degrees of confidence for spatial and terminological integration results. A prototype has been implemented to present the benefits of our proposal in an use-case scenario. This work has been realized within the framework of UNIMAP project.

Document type :

Conference papers

Domain :

Computer Science [cs]

Complete list of metadatas

https://hal.archives-ouvertes.fr/hal-01301080
Contributor : Équipe Gestionnaire Des Publications Si Liris <>
Submitted on : Monday, April 11, 2016 - 4:29:26 PM
Last modification on : Wednesday, November 20, 2019 - 2:30:52 AM

Representing Uncertainty in Visual Integration

Identifiers

Collections

Citation

Export

Metrics

162

Contact

Representing Uncertainty in Visual Integration

Identifiers

Collections

Citation

Export

Share

Metrics

162

Contact