Towards IoT platforms’ integration: Semantic Translations between W3C SSN and ETSI SAREF

João Luiz Moreira, L.M. Daniele, Luis Ferreira Pires, Marten J. van Sinderen, Katarzyna Wasielewska, Pawel Szmeja, Wieslaw Pawlowski, Maria Ganzha, Marcin Paprzycki

    Research output: Contribution to conferencePaperpeer-review

    10 Citations (Scopus)
    534 Downloads (Pure)


    Several IoT ontologies have been developed lately to improve the semantic interoperability of IoT solutions. The most popular of these ontologies, the W3C Semantic Sensor Network (SSN), is considered an ontological foundation for
    diverse IoT initiatives, particularly OpenIoT. With characteristics similar to SSN, the ETSI Smart Appliances REFerence (SAREF) ontology evolved from the needs of smart home solutions to common requirements of IoT. Some IoT solutions rely on platform-specific ontologies and their integration requires mechanisms to align these ontologies. In this paper we discuss the ontology alignment between SSN and SAREF, identifying mapping alternatives and proposing basic mappings that can be re-used to define more complex ones. We introduce here an initial specification of the semantic translations from the main elements of SSN to
    SAREF, which includes classes, object properties and data properties. The alignment will be used in a semantic matching process leveraging the semantic mediator component of the INTER-IoT project. An initial evaluation of the translation was executed by translating the wind sensor (Vaisala WM30), an example provided by the W3C, from SSN to SAREF. This initial evaluation demonstrates the coherence and feasibility of the proposed mappings.
    Original languageEnglish
    Number of pages8
    Publication statusPublished - 1 Nov 2017
    EventSEMANTiCS conference 2017 - Theater de Meervaart, Amsterdam, Netherlands
    Duration: 11 Sept 201714 Sept 2017


    ConferenceSEMANTiCS conference 2017


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