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

Xiang Su, Hao Zhang, Jukka Riekki, Ari Keränen, Jukka K. Nurminen, Libin Du

    Tutkimustuotos: Artikkeli kirjassa/konferenssijulkaisussaConference article in proceedingsScientificvertaisarvioitu

    39 Sitaatiot (Scopus)
    190 Lataukset (Pure)

    Abstrakti

    Applying 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.
    AlkuperäiskieliEnglanti
    Otsikko5th International Conference on Ambient Systems, Networks and Technologies (ANT-2014), Hasselt, Belgium, 2-5 June, 2014
    KustantajaElsevier
    Sivut215–222
    DOI - pysyväislinkit
    TilaJulkaistu - 2014
    OKM-julkaisutyyppiA4 Artikkeli konferenssijulkaisussa
    TapahtumaINTERNATIONAL CONFERENCE ON AMBIENT SYSTEMS, NETWORKS AND TECHNOLOGIES - Hasselt, Belgia
    Kesto: 2 kesäk. 20145 kesäk. 2014
    Konferenssinumero: 5

    Julkaisusarja

    NimiProcedia Computer Science
    KustantajaElsevier
    Vuosikerta32
    ISSN (elektroninen)1877-0509

    Conference

    ConferenceINTERNATIONAL CONFERENCE ON AMBIENT SYSTEMS, NETWORKS AND TECHNOLOGIES
    LyhennettäANT
    Maa/AlueBelgia
    KaupunkiHasselt
    Ajanjakso02/06/201405/06/2014

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