A Hypercat-enabled Semantic Internet of Things Data Hub: Technical Report
This work addresses interoperability for IoT data sharing, but it is incremental as it builds on existing Hypercat and Semantic Web technologies.
The authors tackled the interoperability problem in the Internet of Things (IoT) by semantically enriching the BT Hypercat Data Hub using Semantic Web standards, enabling federated queries over multiple data sources and illustrating advantages through two use cases.
An increasing amount of information is generated from the rapidly increasing number of sensor networks and smart devices. A wide variety of sources generate and publish information in different formats, thus highlighting interoperability as one of the key prerequisites for the success of Internet of Things (IoT). The BT Hypercat Data Hub provides a focal point for the sharing and consumption of available datasets from a wide range of sources. In this work, we propose a semantic enrichment of the BT Hypercat Data Hub, using well-accepted Semantic Web standards and tools. We propose an ontology that captures the semantics of the imported data and present the BT SPARQL Endpoint by means of a mapping between SPARQL and SQL queries. Furthermore, federated SPARQL queries allow queries over multiple hub-based and external data sources. Finally, we provide two use cases in order to illustrate the advantages afforded by our semantic approach.