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

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 SemSor-Grid4Env realisation of the architecture and illustrate its capabilities in the context of the example application.

Antoniou, Grigoris
Grobelnik, Marko
Simperl, Elena
Parsia, Bijan
Plexousakis, Dimitris
De Leenheer, Pieter
Pan, Jeff
Published in:
The Semantic Web: Research and Applications - 8th Extended Semantic Web Conference, ESWC 2011, 6644, 300-314
Presented at:
8th Extended Semantic Web Conference (ESWC), Heraklion, Crete, Greece, May 29 - June 2, 2011
Berlin, Heidelberg, Springer Berlin Heidelberg

 Record created 2015-08-23, last modified 2018-01-28

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