Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/61892
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dc.contributor.authorZhang, Haoxien
dc.contributor.authorSanin, Cesaren
dc.contributor.authorSzczerbicki, Edwarden
local.source.editorEditor(s): Dariusz Król, Lech Madeyski and Ngoc Thanh Nguyenen
dc.date.accessioned2024-08-02T02:27:09Z-
dc.date.available2024-08-02T02:27:09Z-
dc.date.issued2016-02-27-
dc.identifier.citationRecent Developments in Intelligent Information and Database Systems, p. 235-242en
dc.identifier.isbn9783319312774en
dc.identifier.isbn9783319810041en
dc.identifier.isbn9783319312767en
dc.identifier.urihttps://hdl.handle.net/1959.11/61892-
dc.description.abstract<p>In this paper, we propose a novel approach for knowledge management in Internet of Things. By utilizing Decisional DNA and deep learning technologies, our approach enables Internet of Things of experiential knowledge discovery, representation, reuse, and sharing among each other. Rather than using traditional machine learning and knowledge discovery methods, this approach focuses on capturing domain’s decisional events via Decisional DNA, and abstracting knowledge through deep learning process based on captured events data. The Decisional DNA is a flexible, domain-independent, and standard experiential knowledge repository solution that allows knowledge to be represented, reused, and easily shared. The main features, architecture, and an initial experiment of this approach are introduced. The presented conceptual approach demonstrates how knowledge can be discovered through its domain’s experiences, and stored and shared as Decisional DNA.</p>en
dc.languageenen
dc.publisherSpringer, Chamen
dc.relation.ispartofRecent Developments in Intelligent Information and Database Systemsen
dc.relation.ispartofseriesStudies in Computational Intelligenceen
dc.titleExperience-Oriented Knowledge Management for Internet of Thingsen
dc.typeBook Chapteren
dc.identifier.doi10.1007/978-3-319-31277-4_20en
local.contributor.firstnameHaoxien
local.contributor.firstnameCesaren
local.contributor.firstnameEdwarden
local.profile.schoolSchool of Science and Technologyen
local.profile.emailcmaldon3@une.edu.auen
local.output.categoryB1en
local.record.placeauen
local.record.institutionUniversity of New Englanden
local.publisher.placeGermanyen
local.identifier.totalchapters40en
local.format.startpage235en
local.format.endpage242en
local.series.issn1860-9503-
local.series.issn1860-949X-
local.series.number642en
local.peerreviewedYesen
local.contributor.lastnameZhangen
local.contributor.lastnameSaninen
local.contributor.lastnameSzczerbickien
dc.identifier.staffune-id:cmaldon3en
local.profile.orcid0000-0001-8515-417Xen
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.identifier.unepublicationidune:1959.11/61892en
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
local.title.maintitleExperience-Oriented Knowledge Management for Internet of Thingsen
local.output.categorydescriptionB1 Chapter in a Scholarly Booken
local.search.authorZhang, Haoxien
local.search.authorSanin, Cesaren
local.search.authorSzczerbicki, Edwarden
local.open.fileurlhttps://rune.une.edu.au/web/retrieve/f8dcb370-d687-42eb-9f2c-e8a29f3a5344en
local.uneassociationNoen
local.atsiresearchNoen
local.sensitive.culturalNoen
local.year.published2016en
local.fileurl.openhttps://rune.une.edu.au/web/retrieve/f8dcb370-d687-42eb-9f2c-e8a29f3a5344en
local.subject.for20204602 Artificial intelligenceen
local.profile.affiliationtypeExternal Affiliationen
local.profile.affiliationtypeExternal Affiliationen
local.profile.affiliationtypeExternal Affiliationen
local.date.moved2024-08-02en
Appears in Collections:Book Chapter
School of Science and Technology
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