File(s) under permanent embargo
Reasoning over knowledge-based generation of situations in context spaces to reduce food waste
conference contribution
posted on 2016-01-01, 00:00 authored by N Kolbe, Arkady ZaslavskyArkady Zaslavsky, S Kubler, J Robert© Springer International Publishing AG 2016. 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.
History
Event
Next Generation Wired/Wireless Networking, ruSMART and NEW2AN . International Conference (2016 : St. Petersburg, Russia)Volume
9870Series
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)Pagination
101 - 114Publisher
SpringerLocation
St. Petersburg, RussiaPlace of publication
New York, N.Y.Publisher DOI
Start date
2016-09-26End date
2016-09-28ISSN
0302-9743eISSN
1611-3349ISBN-13
9783319463001Language
engPublication classification
E Conference publication; E1.1 Full written paper - refereedCopyright notice
2016, Springer International Publishing AGTitle of proceedings
Proceedings of the 16th International Conference, NEW2AN 2016 and 9th Conference, ruSMART 2016 : Internet of Things, Smart Spaces, and Next Generation Networks and SystemsUsage metrics
Categories
No categories selectedKeywords
Licence
Exports
RefWorks
BibTeX
Ref. manager
Endnote
DataCite
NLM
DC