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.openairetypeConference Paper-
item.grantfulltextnone-
item.fulltextNo Fulltext-
item.cerifentitytypePublications-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.languageiso639-1en-
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
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