Title :
Reconciling Context, Observations and Sensors in Ontologies for Pervasive Computing
Author_Institution :
Henri Tudor Public Res. Centre, Luxembourg City, Luxembourg
Abstract :
There have been several ontologies developed for context-aware systems and frameworks based on semantic reasoning. In parallel, efforts have been made towards the realisation of ontologies for sensors and observations. While the main inputs of context-aware systems are observations provided by sensors, context ontologies focus only on expressing context data and do not consider the way and in which form this data is retrieved. In this paper, we review dedicated ontologies in the state of the art and bridge this gap by presenting a unifying generic context ontology centred on the concept of entity, together with an integrated sensor and observation ontology linking existing advanced ontologies.
Keywords :
ontologies (artificial intelligence); ubiquitous computing; context ontology; context-aware system; integrated sensor; observation ontology; pervasive computing; semantic reasoning; Context; Context modeling; Ontologies; Semantics; Sensor phenomena and characterization; Sensor systems; Context; Context-Aware Systems; Observation; Ontology; Sensor;
Conference_Titel :
Semantic Media Adaptation and Personalization (SMAP), 2011 Sixth International Workshop on
Conference_Location :
Pontevedra
Print_ISBN :
978-1-4577-1372-9
DOI :
10.1109/SMAP.2011.15