PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

A system for publishing sensor data on the semantic web
Alexandra Moraru, Carolina Fortuna and Dunja Mladenić
In: ITI 2011, 27-30 Jun 2011, Cavtat, Dubrovnik, Croatia.


The development of sensor technologies in the last years offers support for new applications for the Internet of Things. The availability of the data resulting from sensor networks deployed in different environments is important for a number of advanced services, such as traffic flow prediction and power consumption monitoring. We propose a system for publishing sensor data following the linked data principles and providing hereby integration with the Semantic Web. The main components are the Semantic Enrichment component and the Data Publishing component, while for storing sensor data we use a relational database.

EPrint Type:Conference or Workshop Item (Paper)
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Computational, Information-Theoretic Learning with Statistics
Information Retrieval & Textual Information Access
ID Code:8716
Deposited By:Jan Rupnik
Deposited On:21 February 2012