A Semantically Enabled Service Architecture for Mashups over Streaming and Stored Data

Presented at: 8th Extended Semantic Web Conference (ESWC2011)

by Alasdair J. G. Gray, Alvaro A. A. Fernandes, Norman W. Paton, Oscar Corcho, Manolis Koubarakis, David De Roure, Kirk Martinez, Asun Gomez-Perez, Raúl García Castro, Kostis Kyzirakos, Manos Karpathiotakis, Jean-Paul Calbimonte, Kevin Page, Jason Sadler, Alex Frazer, Ixent Galpin

Sensing devices are increasingly being deployed to monitor the physical world around us. One class of application for which sensor data is pertinent is environmental decision support systems, e.g. flood emergency response. However, in order to interpret the readings from the sensors, the data needs to be put in context through correlation with other sensor readings, sensor data histories, and stored data, as well as juxtaposing with maps and forecast models. In this paper we use a flood emergency response planning application to identify requirements for a semantic sensor web. We propose a generic service architecture to satisfy the requirements that uses semantic annotations to support well-informed interactions between the services. We present the SemSorGrid4Env realisation of the architecture and illustrate its capabilities in the context of the example application.

Keywords: Sensor web architecture, mashups, semantic sensor networks, sensor network ontology, use case

Resource URI on the dog food server: http://data.semanticweb.org/conference/eswc/2011/paper/sensor-web/5

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