Records |
Author  |
Gaia Trecarichi; Veronica Rizzi; Lorenzino Vaccari; Maurizio Marchese; Paolo Besana |
Title |
Open Knowledge at work: Exploring centralized and decentralized information gathering in emergency contexts |
Type |
Conference Article |
Year |
2009 |
Publication |
ISCRAM 2009 – 6th International Conference on Information Systems for Crisis Response and Management: Boundary Spanning Initiatives and New Perspectives |
Abbreviated Journal |
ISCRAM 2009 |
Volume |
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Issue |
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Pages |
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Keywords |
Information management; Information systems; Agent based; Crisis management; Interaction model; Knowledge-sharing; P2P network; Process coordination; Architecture |
Abstract |
Real-world experience teaches us that to manage emergencies, efficient crisis response coordination is crucial. ICT infrastructures are effective in supporting the people involved in such contexts, by supporting effective ways of interaction. They also should provide innovative means of communication and information management. At present, centralized architectures are mostly used for this purpose; however, alternative infrastructures based on the use of distributed information sources, are currently being explored, studied and analyzed. This paper aims at investigating the capability of a novel approach (developed within the European project OpenKnowledge1) to support both centralized and decentralized architectures for information gathering. For this purpose, we developed an agent-based e-Response simulation environment fully integrated with the OpenKnowledge infrastructure and through which existing emergency plans are modelled and simulated. Preliminary results show the OpenKnowledge capability of supporting the two afore-mentioned architectures and, under ideal assumptions, a comparable performance in both cases. |
Address |
University of Trento, Italy; University of Edinburgh, United Kingdom |
Corporate Author |
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Thesis |
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Publisher |
Information Systems for Crisis Response and Management, ISCRAM |
Place of Publication |
Gothenburg |
Editor |
J. Landgren, S. Jul |
Language |
English |
Summary Language |
English |
Original Title |
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Series Editor |
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Series Title |
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Abbreviated Series Title |
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Series Volume |
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Series Issue |
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Edition |
|
ISSN |
2411-3387 |
ISBN |
9789163347153 |
Medium |
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Track |
Intelligent Systems |
Expedition |
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Conference |
6th International ISCRAM Conference on Information Systems for Crisis Response and Management |
Notes |
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Approved |
no |
Call Number |
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Serial |
1016 |
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Author  |
Maurizio Marchese; Lorenzino Vaccari; Gaia Trecarichi; Nardine Osman; Fiona McNeill |
Title |
Interaction models to support peer coordination in crisis management |
Type |
Conference Article |
Year |
2008 |
Publication |
Proceedings of ISCRAM 2008 – 5th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
ISCRAM 2008 |
Volume |
|
Issue |
|
Pages |
230-241 |
Keywords |
Computer simulation; Human resource management; Information systems; Peer to peer networks; Risk management; Crisis management; Emergencies simulation; Interaction model; Knowledge-sharing; P2P network; Process coordination; Information management |
Abstract |
All phases of emergency management activities – that we will reference hereafter as eResponse activities – depend on data from a variety of sources and involve a range of different organizations and teams at various administrative levels with their own systems and services. The existence of numerous and different actors, policies, procedures, data standards and systems results in coordination problems with respect to data analysis, information delivery and resource management.. In this paper we present a novel approach based on interaction models distributed through a peer to peer infrastructure and we show how it can be applied in the context of crisis management to support coalition formation and process coordination in open environments. In particular, a prototype eResponse simulation system – built on a P2P infrastructure – has been developed to execute interaction models describing common coordination tasks in emergency response domain. Preliminary evaluation of the proposed framework demonstrates its capability to support such eResponse tasks. |
Address |
University of Trento, Italy; University of Edinburgh, United Kingdom |
Corporate Author |
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Thesis |
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Publisher |
Information Systems for Crisis Response and Management, ISCRAM |
Place of Publication |
Washington, DC |
Editor |
F. Fiedrich, B. Van de Walle |
Language |
English |
Summary Language |
English |
Original Title |
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Series Editor |
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Series Title |
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Abbreviated Series Title |
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Series Volume |
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Series Issue |
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Edition |
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ISSN |
2411-3387 |
ISBN |
9780615206974 |
Medium |
|
Track |
Process- and Geo-aware Systems for Crisis Management |
Expedition |
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Conference |
5th International ISCRAM Conference on Information Systems for Crisis Response and Management |
Notes |
|
Approved |
no |
Call Number |
|
Serial |
742 |
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Author  |
Maurizio Marchese; Lorenzino Vaccari; Pavel Shvaiko; Juan Pane |
Title |
An application of approximate ontology matching in eResponse |
Type |
Conference Article |
Year |
2008 |
Publication |
Proceedings of ISCRAM 2008 – 5th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
ISCRAM 2008 |
Volume |
|
Issue |
|
Pages |
294-304 |
Keywords |
Distributed computer systems; Information systems; Ontology; Peer to peer networks; Semantics; Web services; Websites; Approximate ontology matching; Crisis management; Interaction model; Ontology matching; Organizational modeling; Peer-to-peer information; Semantic heterogeneity; Web service composition; Emergency services |
Abstract |
Ontology matching is a key problem in many metadata intensive application domains, including emergency response, data integration, peer-to-peer information sharing, web service composition, and query answering on the web. In this paper we present an emergency response scenario based on the organizational model as used in Trentino region, Italy. We provide a formalization of this scenario with the help of lightweight coordination calculus. Then, we discuss an automatic approximate structure preserving matching algorithm which we applied within the emergency response scenario. The evaluation results, though preliminary, are encouraging. |
Address |
University of Trento, Italy |
Corporate Author |
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Thesis |
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Publisher |
Information Systems for Crisis Response and Management, ISCRAM |
Place of Publication |
Washington, DC |
Editor |
F. Fiedrich, B. Van de Walle |
Language |
English |
Summary Language |
English |
Original Title |
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Series Editor |
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Series Title |
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Abbreviated Series Title |
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Series Volume |
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Series Issue |
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Edition |
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ISSN |
2411-3387 |
ISBN |
9780615206974 |
Medium |
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Track |
Ontologies for Crisis Management |
Expedition |
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Conference |
5th International ISCRAM Conference on Information Systems for Crisis Response and Management |
Notes |
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Approved |
no |
Call Number |
|
Serial |
741 |
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