Publishing linked sensor data

Abstract

This paper describes a linked-data platform to publish sensor data and link them to existing resource on the semantic Web. The linked sensor data platform, called Sense2Web supports flexible and interoperable descriptions and provide association of different sensor data ontologies to resources described on the semantic Web and the Web of data. The current advancements in (wireless) sensor networks and being able to manufacture low cost and energy efficient hardware for sensors has lead to a potential interest in integrating physical world data into the Web. Wireless sensor networks employ various types of hardware and software components to observe and measure physical phenomena and make the obtained data available through different networking services. Applications and users are typically interested in querying various events and requesting measurement and observation data from physical world. Using a linked data approach enables data consumers to access sensor data and query the data and relations to obtain information and/or integrate data from various sources. Global access to sensor data can provides a wide range of applications in different domains such as geographical information systems, healthcare, smart homes, and business applications and scenarios. In this paper we focus on publishing linked-data to describe sensors and link them to other existing resources on the Web.