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dc.contributor.authorGöynügür, Emre
dc.contributor.authorŞensoy, Murat
dc.contributor.authorMel, G. de
dc.date.accessioned2019-01-15T08:02:42Z
dc.date.available2019-01-15T08:02:42Z
dc.date.issued2018-01-12
dc.identifier.isbn978-1-5386-2715-0
dc.identifier.urihttp://hdl.handle.net/10679/6100
dc.identifier.urihttps://ieeexplore.ieee.org/document/8258269/authors#authors
dc.descriptionDue to copyright restrictions, the access to the full text of this article is only available via subscription.
dc.description.abstractMonitoring and following health and safety regulations are especially important - but made difficult - in hazardous work environments such as underground mines to prevent work place accidents and illnesses. Even though there are IoT solutions for health and safety, every work place has different characteristics and monitoring is typically done by humans in control rooms. During emergencies, conflicts may arise among prohibitions and obligations, and humans may not be better placed to make decision without any assistance as they do not have a bird's-eye-view of the environment. Motivated by this observations, in this paper, we discuss how health and safety regulations can be implemented using a semantic policy framework. We then show how this framework can be integrated into an in-use smart underground mine solution. We also evaluate the performance of our framework to show that it can cope with the complexity and the amount of data generated by the system.en_US
dc.description.sponsorshipU.S. Army Research Laboratory ; U.K. Ministry of Defence ; TÜBİTAK
dc.language.isoengen_US
dc.publisherIEEEen_US
dc.relationinfo:turkey/grantAgreement/TUBITAK/113E238
dc.relation.ispartof2017 IEEE International Conference on Big Data (Big Data)
dc.rightsrestrictedAccess
dc.titleCombining semantic web and IoT to reason with health and safety policiesen_US
dc.typeConference paperen_US
dc.publicationstatusPublisheden_US
dc.contributor.departmentÖzyeğin University
dc.contributor.authorID(ORCID 0000-0001-8806-4508 & YÖK ID 41438) Şensoy, Murat
dc.contributor.ozuauthorŞensoy, Murat
dc.identifier.volume2018en_US
dc.identifier.startpage2990en_US
dc.identifier.endpage2997en_US
dc.identifier.wosWOS:000428073702123
dc.identifier.doi10.1109/BigData.2017.8258269en_US
dc.subject.keywordsPolicy frameworken_US
dc.subject.keywordsOBDAen_US
dc.subject.keywordsPlanningen_US
dc.subject.keywordsConflict detectionen_US
dc.subject.keywordsConflict resolutionen_US
dc.subject.keywordsHealth and safetyen_US
dc.subject.keywordsSemantic weben_US
dc.identifier.scopusSCOPUS:2-s2.0-85047820689
dc.contributor.ozugradstudentGöynügür, Emre
dc.contributor.authorMale2
dc.relation.publicationcategoryConference Paper - International - Institutional Academic Staff and PhD Student


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