Article citationsMore>>

Frez, J., Baloian, N., Zurita, G. and Pino, J.A. (2014.) Dealing with Incomplete and Uncertain Context Data in Geographic Information Systems. IEEE 18th International Conference on Computer Supported Cooperative Work in Design (CSCWD).

has been cited by the following article:

• 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.