Abstract
With the constant growth of Internet of Things (IoT) ecosystems, allowing them to interact transparently has become a major issue for both the research and the software development communities. In this paper we propose a novel approach that builds semantically interoperable ecosystems of IoT devices. The approach provides a SPARQL query-based mechanism to transparently discover and access IoT devices that publish heterogeneous data. The approach was evaluated in order to prove that it provides complete and correct answers without affecting the response time and that it scales linearly in large ecosystems.
Highlights
In the last decade, the Internet of Things (IoT) devices available through the Web have become pervasive [1], allowing users and applications to monitor and interact with their devices [2]
Descriptions of the relevant IoT devices for answering the issued SPARQL query, eWoT relies on the sub-component Distributed Access to analyse the different Thing Descriptions and fetch their data
The latest efforts addressing IoT semantic interoperability issues have evolved towards the resolution of SPARQL queries in a transparent way in order to consume data from a large number of IoT devices, which may publish their data in RDF or rely on annotations to translate their data into RDF
Summary
The IoT devices available through the Web have become pervasive [1], allowing users and applications to monitor and interact with their devices [2]. Discovery should enable context- and content-based searching (i.e., the discovery of sensors by some meta-data (context-based) or by values that devices are capturing (content-based)). For this purpose, W3C standards have become widely adopted [9], SPARQL [10], to transparently interact with IoT ecosystems, and ontologies are used to describe the meta-data of the IoT devices. The Thing Description (TD) model defined by the W3C Web of Things working group [11] is one of the most adopted to profile IoT devices and developing discovery mechanisms [12]
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