From RESTful to SPARQL: a case study on generating semantic sensor data
Heiko Müller, Liliana Cabral, Ahsan Morshed, Yanfeng Shu · 2013
Abstract. The recent years have seen a vast increase in the amount of environmental sensor data that is being published on the web. Semantic enrichment of sensor data addresses the problems of (re-)use, integration, and discovery. A critical issue is how to generate semantic sensor data from existing data sources. In this paper, we present our approach to semantically augment an existing sensor data infrastructure, in which data is published via a RESTful API as inter-linked json documents. In particular, we describe and discuss the use of ontologies and the design and development of seraw, a system that transforms a set of json documents into an rdf graph augmented with links to other resources in the Linked Open Data cloud. This transformation is based on user-provided mappings and supported by a library of purpose-built functions. We discuss lessons learned during development and outline remaining open problems. 1