Connecting IoT Sensors to Knowledge-Based Systems by Transforming SenML to RDF

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dc.contributorAalto-yliopistofi
dc.contributorAalto Universityen
dc.contributor.authorSu, Xiangen_US
dc.contributor.authorZhang, Haoen_US
dc.contributor.authorRiekki, Jukkaen_US
dc.contributor.authorKeränen, Arien_US
dc.contributor.authorNurminen, Jukka K.en_US
dc.contributor.authorDu, Libinen_US
dc.contributor.departmentTietotekniikan laitosen
dc.date.accessioned2017-05-11T07:38:33Z
dc.date.available2017-05-11T07:38:33Z
dc.date.issued2014en_US
dc.description.abstractApplying Semantic Web technologies to Internet of Things (IoT) enables smart applications and services in a variety of domains. However, the gap between semantic representations and data formats used in IoT devices introduces a challenge for utilizing semantics in IoT. Sensor Markup Language (SenML) is an emerging solution for representing device parameters and measurements. SenML is replacing proprietary data formats and is being accepted by more and more vendors. In this paper, we suggest a solution to transform SenML data into a standardized semantic model, Resource Description Framework (RDF). Such a transformation facilitates intelligent functions in IoT, including reasoning over sensor data and semantic interoperability among devices. We present a fishery IoT system to illustrate the usability of this approach and compare the resource consumptions of SenML against other alternatives.en
dc.description.versionPeer revieweden
dc.format.mimetypeapplication/pdfen_US
dc.identifier.citationSu, X, Zhang, H, Riekki, J, Keränen, A, Nurminen, J K & Du, L 2014, Connecting IoT Sensors to Knowledge-Based Systems by Transforming SenML to RDF . in 5th International Conference on Ambient Systems, Networks and Technologies (ANT-2014), Hasselt, Belgium, 2-5 June, 2014 . Procedia Computer Science, vol. 32, Elsevier, pp. 215–222, International Conference on Ambient Systems, Networks and Technologies, Hasselt, Belgium, 02/06/2014 . https://doi.org/10.1016/j.procs.2014.05.417en
dc.identifier.doi10.1016/j.procs.2014.05.417en_US
dc.identifier.issn1877-0509
dc.identifier.otherPURE UUID: 65c13872-d828-4ec5-9283-18d428b9acf5en_US
dc.identifier.otherPURE ITEMURL: https://research.aalto.fi/en/publications/65c13872-d828-4ec5-9283-18d428b9acf5en_US
dc.identifier.otherPURE FILEURL: https://research.aalto.fi/files/11746884/1_s2.0_S1877050914006176_main.pdfen_US
dc.identifier.urihttps://aaltodoc.aalto.fi/handle/123456789/25565
dc.identifier.urnURN:NBN:fi:aalto-201705113949
dc.language.isoenen
dc.relation.ispartofInternational Conference on Ambient Systems, Networks and Technologiesen
dc.relation.ispartofINTERNATIONAL CONFERENCE ON AMBIENT SYSTEMS, NETWORKS AND TECHNOLOGIESfin
dc.relation.ispartofseries5th International Conference on Ambient Systems, Networks and Technologies (ANT-2014), Hasselt, Belgium, 2-5 June, 2014en
dc.relation.ispartofseriespp. 215–222en
dc.relation.ispartofseriesProcedia Computer Science ; Volume 32en
dc.rightsopenAccessen
dc.subject.keywordMedia Types for Sensor Markup Languageen_US
dc.subject.keywordRDFen_US
dc.subject.keywordInferenceen_US
dc.titleConnecting IoT Sensors to Knowledge-Based Systems by Transforming SenML to RDFen
dc.typeA4 Artikkeli konferenssijulkaisussafi
dc.type.versionpublishedVersion

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