Show simple item record

dc.contributor.authorChen, Limingen
dc.contributor.authorNing, H.en
dc.contributor.authorShi, F.en
dc.contributor.authorLi, Qingjuanen
dc.date.accessioned2018-11-13T09:10:00Z
dc.date.available2018-11-13T09:10:00Z
dc.date.issued2018-11-08
dc.identifier.citationNing H., Shi F., Li Q., Chen L. (2019) A Novel Ontology Consistent with Acknowledged Standards in Smart Homes. Computer Networks,148, pp.101-107.en
dc.identifier.issn1389-1286
dc.identifier.urihttp://hdl.handle.net/2086/17167
dc.descriptionThe file attached to this record is the author's final peer reviewed version. The Publisher's final version can be found by following the DOI link.en
dc.description.abstractWith the development of Internet of Things, the Smart Home equipped with various sensors and devices has become a hot area attracting global attention and concern. In order to get a better understanding of ambient environments, adding semantics to sensor data plays a significant role. Researchers are attempting to build semantic models in order to satisfy their own requirements, which leads to little reusability between different models. This paper aims to provide a novel ontology which follows publicly acknowledged standards for achieving sensor data semantization in smart homes, including modeling sensors, context and activities with semantics. For keeping consistent with current accepted standards, the proposed ontology is based on the Semantic Sensor Network Ontology. In addition, we enrich the ontologies by incorporating spatiotemporal information and user profiles. The ontology is designed using Protégé and a use case is demonstrated to show the great potentiality in daily activity recognition in smart homes.en
dc.language.isoenen
dc.publisherElsevieren
dc.subjectSemanticen
dc.subjectOntologyen
dc.subjectStandardsen
dc.subjectSmart homesen
dc.subjectInternet of Thingsen
dc.titleA Novel Ontology Consistent with Acknowledged Standards in Smart Homesen
dc.typeArticleen
dc.identifier.doihttps://doi.org/10.1016/j.comnet.2018.11.004
dc.researchgroupCIIRGen
dc.peerreviewedYesen
dc.funderN/Aen
dc.projectidN/Aen
dc.cclicenceCC-BY-NCen
dc.date.acceptance2018-11-06en
dc.researchinstituteCyber Technology Institute (CTI)en


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record