| Records |
| Author |
Nitesh Bharosa; Marijn Janssen; Raghav H. Rao; JinKyu Lee |
| Title |
Adaptive information orchestration: Architectural principles improving information quality |
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 |
556-565 |
| Keywords |
Architecture; Information analysis; Information systems; Network architecture; Adaptivity; Architectural principles; Heterogeneous information sources; Information and technologies; Information architectures; Information quality; Orchestration; Rotterdam; Information management |
| Abstract |
Effective responsiveness to disasters requires the management of information in a network of autonomous response agencies. Yet, the information quality is often insufficient. Information is scattered throughout the network and needs to be collected from heterogeneous information sources. As such, adaptive information orchestration is the key to effective response. The aim of this paper is to develop a prescriptive, conceptual architecture guided by architectural principles for orchestration aimed at improving information quality. Information orchestration refers to an information architecture in which multiple orchestrators match information supply according to the information demand in order to assure a high information quality for relief workers. A primarily element is that information needs to be 'enriched' before it is provided to relief workers and necessary resources (human, information and technology) should be available to accomplish this. This should ensure that the right information will be delivered to the right persons at the right moment. Future research is aimed at detailing the concept of information orchestration. |
| Address |
Delft University of Technology, Netherlands; State University of New York, Buffalo, United States; Oklahoma State University, United States |
| Corporate Author |
|
Thesis |
|
| 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 |
|
| Series Editor |
|
Series Title |
|
Abbreviated Series Title |
|
| Series Volume |
|
Series Issue |
|
Edition |
|
| ISSN |
2411-3387 |
ISBN |
9780615206974 |
Medium |
|
| Track |
Adaptive Information Architectures for Interagency Crisis Management |
Expedition |
|
Conference |
5th International ISCRAM Conference on Information Systems for Crisis Response and Management |
| Notes |
|
Approved |
no |
| Call Number |
|
Serial |
323 |
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| Author |
Ulrich Meissen; Frank Fuchs-Kittowski |
| Title |
Towards a reference architecture of crowdsourcing integration in early warning systems |
Type |
Conference Article |
| Year |
2014 |
Publication |
ISCRAM 2014 Conference Proceedings – 11th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
ISCRAM 2014 |
| Volume |
|
Issue |
|
Pages |
334-338 |
| Keywords |
Disaster prevention; Disasters; Information systems; Management information systems; Alert systems; Architectural principles; Disaster management; Early warning; Early warning systems; Geo-crowdsourcing; Integrated architecture; Reference architecture; Architecture |
| Abstract |
Crowdsourcing has the potential to become a crucial information source in disaster management. In order to become effective as an integrated part of disaster management systems it is important to set the general architectural foundations for such integrations beyond prototypical experiments. This paper discusses general architectural principles of the application of crowdsourcing in Early Warning Systems (EWS). An integrated architecture is proposed to use classical sensor data and crowdsourcing in an EWS solution. Therefore, typical components of crowdsourcing applications are identified and mapped to monitoring subsystems of EWS's. Three main structural variants of applying crowdsourcing in early warning systems along the example of a prototypical extension of two existing large-scale hydro-meteorological warning systems are presented. |
| Address |
Fraunhofer FOKUS, HTW Berlin, Germany |
| Corporate Author |
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Thesis |
|
| Publisher |
The Pennsylvania State University |
Place of Publication |
University Park, PA |
Editor |
S.R. Hiltz, M.S. Pfaff, L. Plotnick, and P.C. Shih. |
| Language |
English |
Summary Language |
English |
Original Title |
|
| Series Editor |
|
Series Title |
|
Abbreviated Series Title |
|
| Series Volume |
|
Series Issue |
|
Edition |
|
| ISSN |
2411-3387 |
ISBN |
9780692211946 |
Medium |
|
| Track |
Geographic Information Science |
Expedition |
|
Conference |
11th International ISCRAM Conference on Information Systems for Crisis Response and Management |
| Notes |
|
Approved |
no |
| Call Number |
|
Serial |
761 |
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