DC FieldValueLanguage
dc.contributor.authorAnagnostopoulos, Theodoros-
dc.contributor.authorFedchenkov, Petr-
dc.contributor.authorMedvedev, Alexey-
dc.contributor.authorSosunova, Inna-
dc.contributor.authorSadov, Oleg-
dc.contributor.authorZaslavsky, Arkady-
dc.date.accessioned2024-07-10T13:28:03Z-
dc.date.available2024-07-10T13:28:03Z-
dc.date.issued2017-08-01-
dc.identifierscopus-85031430290-
dc.identifier.isbn978-3-319-67380-6-
dc.identifier.issn1611-3349-
dc.identifier.issn0302-9743-
dc.identifier.other85031430290-
dc.identifier.urihttps://uniwacris.uniwa.gr/handle/3000/2713-
dc.description.abstractUsing 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.isoenen_US
dc.relation.ispartofInternet 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 2017en_US
dc.relation.ispartofseriesLecture Notes in Computer Scienceen_US
dc.subjectContext awarenessen_US
dc.subjectDecision supporten_US
dc.subjectKnowledge representationen_US
dc.subjectOntologyen_US
dc.subjectSituation awarenessen_US
dc.subjectWaste managementen_US
dc.titleSWM-PnR: ontology-based context-driven knowledge representation for IoT-enabled waste managementen_US
dc.typeConference Paperen_US
dc.relation.conference17th 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, Russiaen_US
dc.identifier.doi10.1007/978-3-319-67380-6_14en_US
dc.identifier.scopus2-s2.0-85031430290-
dcterms.accessRights0en_US
dc.relation.deptDepartment of Business Administrationen_US
dc.relation.facultySchool of Administrative, Economics and Social Sciencesen_US
dc.identifier.spage151en_US
dc.identifier.epage162en_US
dc.collaborationUniversity of West Attica (UNIWA)en_US
dc.subject.fieldEngineering and Technologyen_US
dc.journalsOpen Accessen_US
dc.publicationPeer Revieweden_US
dc.countryGreeceen_US
local.metadatastatusverifieden_US
item.fulltextNo Fulltext-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.cerifentitytypePublications-
item.openairetypeConference Paper-
item.languageiso639-1en-
item.grantfulltextnone-
crisitem.author.deptDepartment of Business Administration-
crisitem.author.facultySchool of Administrative, Economics and Social Sciences-
crisitem.author.orcid0000-0002-5587-2848-
crisitem.author.parentorgSchool of Administrative, Economics and Social Sciences-
Appears in Collections:Book Chapter / Κεφάλαιο Βιβλίου
CORE Recommender
Sorry the service is unavailable at the moment. Please try again later.
Show simple item record

SCOPUSTM   
Citations

6
checked on Apr 6, 2025

Page view(s)

29
checked on Apr 8, 2025

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.