Uncertain GeoInformation Representation and Reasoning: a Use case in LBS Integration - Archive ouverte HAL Accéder directement au contenu
Communication Dans Un Congrès Année : 2010

Uncertain GeoInformation Representation and Reasoning: a Use case in LBS Integration

Roula Karam
  • Fonction : Auteur
  • PersonId : 987716
Franck Favetta
Robert Laurini
Rima Kilany Chamoun
  • Fonction : Auteur

Résumé

Due to the fact that mobile devices are in widespread use, many applications including Location Based Services (LBS) had been involved to deliver relevant information to customers anywhere at any time and thus based on their profile and geographical position. However, with the increasing number of heterogeneous databases, many problems may arise related to 1) the interoperability of geographical databases, 2) the integration of geospatial data / metadata of the same location service, provided differently by many operators and 3) the uncertain positioning results due to GPS/Radio coverage technologies, geo coding conversion functions and mobile devices’ Limitations. In this paper, the ‘uncertainty’ issues on geographic,place names and semantic details for homologous objects towards a complete map conflation were solved by our MPLoM framework (Location Integration) and our Visual Domain Ontology application (Cartographic Integration) with an extension of Web Ontology Language named CartOWL.
Fichier non déposé

Dates et versions

hal-01381629 , version 1 (14-10-2016)

Identifiants

  • HAL Id : hal-01381629 , version 1

Citer

Roula Karam, Franck Favetta, Robert Laurini, Rima Kilany Chamoun. Uncertain GeoInformation Representation and Reasoning: a Use case in LBS Integration. FLEXDBIST,21st International Conference on Database and Expert Systems Applications (DEXA 2010) , Aug 2010, Bilbao, Spain. pp.5. ⟨hal-01381629⟩
55 Consultations
0 Téléchargements

Partager

Gmail Facebook X LinkedIn More