Abstract
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.
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 language | English |
|---|---|
| Number of pages | 8 |
| Publication status | Published - 1 Nov 2017 |
| Event | SEMANTiCS conference 2017 - Theater de Meervaart, Amsterdam, Netherlands Duration: 11 Sept 2017 → 14 Sept 2017 |
Conference
| Conference | SEMANTiCS conference 2017 |
|---|---|
| Country/Territory | Netherlands |
| City | Amsterdam |
| Period | 11/09/17 → 14/09/17 |