DocumentCode
2653119
Title
Reconciling Context, Observations and Sensors in Ontologies for Pervasive Computing
Author
Naudet, Yannick
Author_Institution
Henri Tudor Public Res. Centre, Luxembourg City, Luxembourg
fYear
2011
fDate
1-2 Dec. 2011
Firstpage
3
Lastpage
8
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Semantic Media Adaptation and Personalization (SMAP), 2011 Sixth International Workshop on
Conference_Location
Pontevedra
Print_ISBN
978-1-4577-1372-9
Type
conf
DOI
10.1109/SMAP.2011.15
Filename
6103494
Link To Document