TITLE:
An OWL-Based Mobile GeoBI Context Ontology Enabling Location-Based and Context-Based Reasoning and Supporting Contextual Business Analysis
AUTHORS:
Belko Abdoul Aziz Diallo, Thierry Badard, Frédéric Hubert, Sylvie Daniel
KEYWORDS:
Mobile Geospatial Business Intelligence (GeoBI), Context Modelling, Context Ontology, Context Awareness, Context Reasoning, Location-Based Reasoning
JOURNAL NAME:
International Journal of Geosciences,
Vol.6 No.1,
January
30,
2015
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 implementation architecture which is provided.