A knowledge driven policy framework for internet of things
dc.contributor.author | Goynugur, Emre | |
dc.contributor.author | De Mel, G. | |
dc.contributor.author | Şensoy, Murat | |
dc.contributor.author | Talamadupula, K. | |
dc.contributor.author | Calo, S. | |
dc.date.accessioned | 2017-12-21T10:51:15Z | |
dc.date.available | 2017-12-21T10:51:15Z | |
dc.date.issued | 2017 | |
dc.identifier.isbn | 978-989-8425-41-6 | |
dc.identifier.uri | http://hdl.handle.net/10679/5756 | |
dc.identifier.uri | http://www.scitepress.org/PublicationsDetail.aspx?ID=oj5/C9hQBBk=&t=1 | |
dc.description.abstract | With the proliferation of technology, connected and interconnected devices (henceforth referred to as IoT) are fast becoming a viable option to automate the day-to-day interactions of users with their environment—be it manufacturing or home-care automation. However, with the explosion of IoT deployments we have observed in recent years, manually governing the interactions between humans-to-devices—and especially devices-to- devices—is an impractical task, if not an impossible task. This is because devices have their own obligations and prohibitions in context, and humans are not equip to maintain a bird’s-eye-view of the interaction space. Motivated by this observation, in this paper, we propose an end-to-end framework that (a) automatically dis- covers devices, and their associated services and capabilities w.r.t. an ontology; (b) supports representation of high-level—and expressive—user policies to govern the devices and services in the environment; (c) pro- vides efficient procedur es to refine and reason about policies to automate the management of interactions; and (d) delegates similar capable devices to fulfill the interactions, when conflicts occur. We then present our initial work in instrumenting the framework and discuss its details. | en_US |
dc.description.sponsorship | TÜBİTAK | |
dc.language.iso | eng | en_US |
dc.publisher | ScitePress | en_US |
dc.relation | info:turkey/grantAgreement/TUBITAK/113E238 | |
dc.relation.ispartof | Proceedings of the 3rd International Conference on Agents and Artificial Intelligence - Volume 2: ICAART | |
dc.rights | restrictedAccess | |
dc.title | A knowledge driven policy framework for internet of things | en_US |
dc.type | Conference paper | en_US |
dc.publicationstatus | Published | en_US |
dc.contributor.department | Özyeğin University | |
dc.contributor.authorID | (ORCID 0000-0001-8806-4508 & YÖK ID 41438) Şensoy, Murat | |
dc.contributor.ozuauthor | Şensoy, Murat | |
dc.identifier.volume | 2 | en_US |
dc.identifier.startpage | 207 | en_US |
dc.identifier.endpage | 216 | en_US |
dc.identifier.wos | WOS:000413244200019 | |
dc.identifier.doi | 10.5220/0006200402070216 | |
dc.subject.keywords | Internet of things | en_US |
dc.subject.keywords | IoT | en_US |
dc.subject.keywords | Semantic web | en_US |
dc.subject.keywords | OWL-QL | en_US |
dc.subject.keywords | Policy | en_US |
dc.subject.keywords | Conflict resolution | en_US |
dc.identifier.scopus | SCOPUS:2-s2.0-85049644246 | |
dc.contributor.ozugradstudent | Goynugur, Emre | |
dc.relation.publicationcategory | Conference Paper - International - Institutional Academic Staff and PhD Student |
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