An OWL-Based Mobile GeoBI Context Ontology Enabling Location-Based and Context-Based Reasoning and Supporting Contextual Business Analysis
Read full paper at: http://www.scirp.org/journal/PaperInformation.aspx?PaperID=53674#.VM8uWCzQrzE Author(s) Belko Abdoul Aziz Diallo , Thierry Badard , Frédéric Hubert , Sylvie Daniel Affiliation(s) Centre de Recherche en Géomatique, Université Laval, Québec, Canada . ABSTRACT Mobile professionals need to be assisted with suitable mobile GeoBI (Geospatial Business Intelligence) systems, which are able to capture, organize and structure the user’s reality into a relevant context model and reason on it. GeoBI context modelling and reasoning are still research issues since there is not yet either a model or a relevant taxonomy regarding GeoBI contextual information. To fill this gap, this paper proposes an extended and detailed OWL-based mobile GeoBI context ontology to provide context-aware applications and users with relevant contextual information and context-based reasoning capabilities. Context quality issues are handled an...