Sommaire de la publication

Sommaire de la publication

Sboui, T., Y. BĂ©dard, J. Brodeur, T. Badard, 2009, Modeling the External Quality of Context to Fine-tune Context Reasoning in Geospatial Interoperability, The 21st International Joint Conference on Artificial Intelligence – Workshop, July 11-12, Pasadena, California, USA

Abstract

Context reasoning is the process of drawing con-clusions from existing context information, and is considered crucial to geospatial interoperability. However, such reasoning still remains a challenge because context may be incomplete or not appro-priate for a specific use. Thus, evaluating and modeling the external quality (fitness-for-use) of context information is important for reasoning about context. In this paper, we propose an ontology-based approach to model the external quality of context information. This approach aims at fine-tuning context reasoning and hence enhancing geospatial interoperability.