toggle visibility Search & Display Options

Select All    Deselect All
 |   | 
Details
   print
  Records Links
Author Nitesh Bharosa; Marijn Janssen; Raghav H. Rao; JinKyu Lee pdf  isbn
openurl 
  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  
Share this record to Facebook
 

 
Author Ulrich Meissen; Frank Fuchs-Kittowski pdf  isbn
openurl 
  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 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  
Share this record to Facebook
Select All    Deselect All
 |   | 
Details
   print

Save Citations:
Export Records: