DC Field | Value | Language |
---|---|---|
dc.contributor.author | Anagnostopoulos, Theodoros | - |
dc.contributor.author | Fedchenkov, Petr | - |
dc.contributor.author | Medvedev, Alexey | - |
dc.contributor.author | Sosunova, Inna | - |
dc.contributor.author | Sadov, Oleg | - |
dc.contributor.author | Zaslavsky, Arkady | - |
dc.date.accessioned | 2024-07-10T13:28:03Z | - |
dc.date.available | 2024-07-10T13:28:03Z | - |
dc.date.issued | 2017-08-01 | - |
dc.identifier | scopus-85031430290 | - |
dc.identifier.isbn | 978-3-319-67380-6 | - |
dc.identifier.issn | 1611-3349 | - |
dc.identifier.issn | 0302-9743 | - |
dc.identifier.other | 85031430290 | - |
dc.identifier.uri | https://uniwacris.uniwa.gr/handle/3000/2713 | - |
dc.description.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, and proposes a multistage data processing method that allows extracting knowledge about specific nontrivial situations on its basis. The paper describes implementation of the proposed system as a web application, where the content types are based on ontology, and data processing occurs according to the proposed algorithm. Benefits of the proposed knowledge-based system are discussed and demonstrated. The proposed approach will significantly improve monitoring and management of waste collection, route planning, and problem reporting. | en_US |
dc.language.iso | en | en_US |
dc.relation.ispartof | 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 | en_US |
dc.relation.ispartofseries | Lecture Notes in Computer Science | en_US |
dc.subject | Context awareness | en_US |
dc.subject | Decision support | en_US |
dc.subject | Knowledge representation | en_US |
dc.subject | Ontology | en_US |
dc.subject | Situation awareness | en_US |
dc.subject | Waste management | en_US |
dc.title | SWM-PnR: ontology-based context-driven knowledge representation for IoT-enabled waste management | en_US |
dc.type | Conference Paper | en_US |
dc.relation.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 | en_US |
dc.identifier.doi | 10.1007/978-3-319-67380-6_14 | en_US |
dc.identifier.scopus | 2-s2.0-85031430290 | - |
dcterms.accessRights | 0 | en_US |
dc.relation.dept | Department of Business Administration | en_US |
dc.relation.faculty | School of Administrative, Economics and Social Sciences | en_US |
dc.identifier.spage | 151 | en_US |
dc.identifier.epage | 162 | en_US |
dc.collaboration | University of West Attica (UNIWA) | en_US |
dc.subject.field | Engineering and Technology | en_US |
dc.journals | Open Access | en_US |
dc.publication | Peer Reviewed | en_US |
dc.country | Greece | en_US |
local.metadatastatus | verified | en_US |
item.openairetype | Conference Paper | - |
item.grantfulltext | none | - |
item.fulltext | No Fulltext | - |
item.cerifentitytype | Publications | - |
item.openairecristype | http://purl.org/coar/resource_type/c_18cf | - |
item.languageiso639-1 | en | - |
crisitem.author.dept | Department of Business Administration | - |
crisitem.author.faculty | School of Administrative, Economics and Social Sciences | - |
crisitem.author.orcid | 0000-0002-5587-2848 | - |
crisitem.author.parentorg | School of Administrative, Economics and Social Sciences | - |
Appears in Collections: | Book Chapter / Κεφάλαιο Βιβλίου |
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