Situation Awareness; Context Space Theory; Internet of Things; Context Awareness; Pervasive Computing; Ontologies
Résumé :
[en] Abstract. Situation awareness is a key feature of pervasive computing and requires external knowledge to interpret data. Ontology-based reasoning approaches allow for the reuse of predefined knowledge, but do not provide the best reasoning capabilities. To overcome this problem, a hybrid model for situation awareness is developed and presented in this paper, which integrates the Situation Theory Ontology into Context Space Theory for inference. Furthermore, in an effort to rely as much as possible on open IoT messaging standards, a domain-independent framework using the O-MI/O-DF standards for sensor data acquisition is developed. This framework is applied to a smart neighborhood use case to reduce food waste at the consumption stage.
Disciplines :
Sciences informatiques
Auteur, co-auteur :
KOLBE, Niklas ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)
Zaslavsky, Arkady; Commonwealth Scientific and Industrial Research Organisation > Data61 > Prof.
KUBLER, Sylvain ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)
ROBERT, Jérémy ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)
Co-auteurs externes :
yes
Langue du document :
Anglais
Titre :
Reasoning over Knowledge-based Generation of Situations in Context Spaces to Reduce Food Waste
Date de publication/diffusion :
28 septembre 2016
Nom de la manifestation :
International Conference on Smart Spaces
Organisateur de la manifestation :
St. Petersburg State Polytechnical University
Lieu de la manifestation :
St. Petersburg, Russie
Date de la manifestation :
26th to 28th September 2016
Manifestation à portée :
International
Titre de l'ouvrage principal :
Reasoning over Knowledge-based Generation of Situations in Context Spaces to Reduce Food Waste
