Reference : Reasoning over Knowledge-based Generation of Situations in Context Spaces to Reduce F...

	Document type :	Scientific congresses, symposiums and conference proceedings : Paper published in a book
	Discipline(s) :	Engineering, computing & technology : Computer science
	Focus Areas :	Computational Sciences
	To cite this reference:	http://hdl.handle.net/10993/28567

Title :	Reasoning over Knowledge-based Generation of Situations in Context Spaces to Reduce Food Waste
Language :	English
Author, co-author :	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) > >]
Publication date :	28-Sep-2016
Edition :	NEW2AN/ruSMART 2016, LNCS 9870 proceedings
Main document title :	Reasoning over Knowledge-based Generation of Situations in Context Spaces to Reduce Food Waste
Publisher :	Springer
Peer reviewed :	Yes
On invitation :	No
Audience :	International
City :	Nungambakkam
Country :	India
Event name :	International Conference on Smart Spaces
Event date :	26th to 28th September 2016
Event organizer :	St. Petersburg State Polytechnical University
Event place (city) :	St. Petersburg
Event country :	Russia
Keywords :	[en] Situation Awareness ; Context Space Theory ; Internet of Things ; Context Awareness ; Pervasive Computing ; Ontologies
Abstract :	[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.
Permalink :	http://hdl.handle.net/10993/28567
Other URL :	http://www.new2an.org/new2an2016program.pdf
FnR project :	FnR ; FNR9095399 > Sylvain Kubler > > Internet of Things for Context-aware Building Energy & Health Management > 01/07/2015 > 30/06/2017 > 2014

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