Dynamic Ontology Enrichment and Reasoning in AmI Environments

Abstract

Context in an environment usually suffers from sudden changes; people and devices move from one place to another, previously unknown objects appear and existing ones disappear. AmI-enhanced environments must be flexible enough to adapt and respond to these changes. This work describes a semantic infrastructure which manages context, reasons over it and, more significantly, it is capable of dynamically enriching the ontology that models context.