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

A Semantically Enabled Service Architecture for Mashups over Streaming and Stored Data
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 SemSorGrid4Env realisation of the architecture and illustrate its capabilities in the context of the example application.
Gray, Alasdair J G
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García Castro, Raúl
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Kyzirakos, Kostis
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Karpathiotakis, Manos
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Calbimonte, Jean-Paul
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Page, Kevin
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Sadler, Jason
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Frazer, Alex
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Galpin, Ixent
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Fernandes, Alvaro A A
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Paton, Norman W
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Corco, Oscar
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Koubarakis, Manolis
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De Roure, David
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Martinez, Kirk
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Gómez Pérez, Asunción
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Gray, Alasdair J G
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García Castro, Raúl
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Kyzirakos, Kostis
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Karpathiotakis, Manos
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Calbimonte, Jean-Paul
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Page, Kevin
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Sadler, Jason
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Frazer, Alex
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Galpin, Ixent
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Fernandes, Alvaro A A
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Paton, Norman W
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Corco, Oscar
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Koubarakis, Manolis
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De Roure, David
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Martinez, Kirk
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Gómez Pérez, Asunción
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Gray, Alasdair J G, García Castro, Raúl, Kyzirakos, Kostis, Karpathiotakis, Manos, Calbimonte, Jean-Paul, Page, Kevin, Sadler, Jason, Frazer, Alex, Galpin, Ixent, Fernandes, Alvaro A A, Paton, Norman W, Corco, Oscar, Koubarakis, Manolis, De Roure, David, Martinez, Kirk and Gómez Pérez, Asunción (2011) A Semantically Enabled Service Architecture for Mashups over Streaming and Stored Data. 8th Extended Semantic Web Conference, Herakilon, Greece. 29 May - 02 Jun 2011.

Record type: Conference or Workshop Item (Paper)

Abstract

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.

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Gray2011Architecture.pdf - Accepted Manuscript
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More information

Published date: May 2011
Additional Information: Event Dates: 29th May - 2nd June 2011
Venue - Dates: 8th Extended Semantic Web Conference, Herakilon, Greece, 2011-05-29 - 2011-06-02
Organisations: Web & Internet Science

Identifiers

Local EPrints ID: 272696
URI: http://eprints.soton.ac.uk/id/eprint/272696
PURE UUID: b6815717-5aad-4807-9fda-0d60b051fb3e
ORCID for David De Roure: ORCID iD orcid.org/0000-0001-9074-3016
ORCID for Kirk Martinez: ORCID iD orcid.org/0000-0003-3859-5700

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Date deposited: 23 Aug 2011 16:01
Last modified: 15 Mar 2024 02:53

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Contributors

Author: Alasdair J G Gray
Author: Raúl García Castro
Author: Kostis Kyzirakos
Author: Manos Karpathiotakis
Author: Jean-Paul Calbimonte
Author: Kevin Page
Author: Jason Sadler
Author: Alex Frazer
Author: Ixent Galpin
Author: Alvaro A A Fernandes
Author: Norman W Paton
Author: Oscar Corco
Author: Manolis Koubarakis
Author: David De Roure ORCID iD
Author: Kirk Martinez ORCID iD
Author: Asunción Gómez Pérez

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