Ontology Engineering Group (OEG), Universidad Politécnica de Madrid, 28660 Madrid, Spain.
Sensors (Basel). 2020 Feb 4;20(3):822. doi: 10.3390/s20030822.
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.
随着物联网 (IoT) 生态系统的不断发展，使它们能够透明地交互已成为研究和软件开发社区的主要问题。在本文中，我们提出了一种新方法，该方法构建了语义互操作的物联网设备生态系统。该方法提供了一种基于 SPARQL 查询的机制，用于透明地发现和访问发布异构数据的 IoT 设备。该方法经过评估，证明它提供了完整且正确的答案，而不会影响响应时间，并且在大型生态系统中可以线性扩展。
