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Enhancing data and processes integration and interoperability in emergency situations: a SWS based emergency management system

Gugliotta, Alessio; Davies, Rob; Gutiérrez-Villarías, Leticia; Tanasescu, Vlad; Domingue, John; Rowlatt, Mary; Richardson, Marc and Stincic, Sandra (2006). Enhancing data and processes integration and interoperability in emergency situations: a SWS based emergency management system. In: First International Workshop on Applications and Business Aspects of the Semantic Web (SEBIZ 2006), 6 Nov 2006, Athens, Georgia, USA.

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Abstract

In this paper we describe a powerful use case application in the area of emergency situations management in which to illustrate the benefits of a system based on Semantic Web Services (SWS), through the automation of the business processes involved. After creating Web services to provide spatial data to third parties through the Internet, semantics and domain ontologies were added to represent the business processes involved, allowing: ease of access and combination of heterogeneous data from different providers; and automatic discovery, access and composition to perform more complex tasks. In this way, our prototype contributes to better management of emergency situations by those responsible. The work described is supported by the DIP (Data, Information and Process Integration with Semantic Web Services) project. DIP (FP6 � 507483), an Integrated Project funded under the European Union�s IST programme.

Item Type: Conference Item
Copyright Holders: 2006 for the individual papers by the papers' authors
ISSN: 1613-0073
Extra Information: SEBIZ 2006
First International Workshop on Applications and Business Aspects of the Semantic Web

Proceedings of the First International Workshop on Applications and Business Aspects of the Semantic Web (SEBIZ 2006)
Collocated with the 5th International Semantic Web Conference (ISWC-2006)
Athens, Georgia, USA, November 6, 2006.
Edited by Elena Simperl, Martin Hepp, Christoph Tempich
Academic Unit/Department: Faculty of Science, Technology, Engineering and Mathematics (STEM) > Knowledge Media Institute (KMi)
Faculty of Science, Technology, Engineering and Mathematics (STEM)
Interdisciplinary Research Centre: Centre for Research in Computing (CRC)
Related URLs:
Item ID: 23131
Depositing User: Kay Dave
Date Deposited: 30 Mar 2011 08:25
Last Modified: 02 Aug 2016 18:02
URI: http://oro.open.ac.uk/id/eprint/23131
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