Smart Home Crawler : Towards a framework for semi-automatic IoT sensor integration

Martin Strohbach, Luis Adan Saavedra, Pavel Smirnov, Stefaniia Legostaieva
2019 2019 Global IoT Summit (GIoTS)  
Sensor deployments in Smart Homes have long reached commercial relevance for applications such as home automation, home safety or energy consumption awareness and reduction. Nevertheless, due to the heterogeneity of sensor devices and gateways, data integration is still a costly and timeconsuming process. In this paper we propose the Smart Home Crawler Framework that (1) provides a common semantic abstraction from the underlying sensor and gateway technologies, and (2) accelerates the
more » ... n of new devices by applying machine learning techniques for linking discovered devices to a semantic data model. We present a first prototype that was demonstrated at ICT 2018. The prototype was built as a domainspecific crawling component for IoTCrawler, a secure and privacy-preserving search engine for the Internet of Things.
doi:10.1109/giots.2019.8766394 dblp:conf/giots/StrohbachSSL19 fatcat:cp6vgkp6wnavpkn7dqreagmfxm