SWM-PnR: ontology-based context-driven knowledge representation for IoT-enabled waste management
Authors: Anagnostopoulos, Theodoros 
Fedchenkov, Petr 
Medvedev, Alexey 
Sosunova, Inna 
Sadov, Oleg 
Zaslavsky, Arkady 
Issue Date: 1-Aug-2017
Conference: 17th International Conference on Next Generation Wired/Wireless Advanced Networks and Systems, NEW2AN 2017, the 10th Conference on Internet of Things and Smart Spaces, ruSMART 2017, 28-30 August 2017, St. Petersburg, Russia 
Book: Internet of Things, Smart Spaces, and Next Generation Networks and Systems: Proceedings of the 17th International Conference, NEW2AN 2017, 10th Conference, ruSMART 2017, Third Workshop NsCC 2017 
Series: Lecture Notes in Computer Science
Keywords: Context awareness, Decision support, Knowledge representation, Ontology, Situation awareness, Waste management
Abstract: 
Using knowledge-based and semantic technologies in IoT is a very active research and promising area. This paper proposes a method of ontology-based context-driven knowledge representation for IoT-enabled hard waste management as part of a wider international project that aims at building IoT ecosystems for smart cities. The paper presents the development of the waste management ontology, rules, an...
ISBN: 978-3-319-67380-6
ISSN: 1611-3349
0302-9743
DOI: 10.1007/978-3-319-67380-6_14
URI: https://uniwacris.uniwa.gr/handle/3000/2713
Type: Conference Paper
Department: Department of Business Administration 
School: School of Administrative, Economics and Social Sciences 
Affiliation: University of West Attica (UNIWA) 
Appears in Collections:Book Chapter / Κεφάλαιο Βιβλίου

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