Mark Turner
Using web service technologies to create an information broker : an experience report.
Turner, Mark; Zhu, Fujun; Kotsiopoulos, Ioannis; Russell, Michelle; Budgen, David; Bennett, Keith; Brereton, Pearl; Keane, John; Layzell, Paul; Rigby, Michael
Authors
Fujun Zhu
Ioannis Kotsiopoulos
Michelle Russell
Professor David Budgen david.budgen@durham.ac.uk
Emeritus Professor
Keith Bennett
Pearl Brereton
John Keane
Paul Layzell
Michael Rigby
Abstract
This paper reports on our experiences with using the emerging web service technologies and tools to create a demonstration information broker system as part of our research into information management in a distributed environment. To provide a realistic context we chose to study the use of information in the healthcare domain, and this context sets some challenging parameters and constraints for our research and for the demonstration system. In this paper we both report on the extent to which existing web service technologies have proved to be mature enough to meet these requirements, and also assess their current limitations.
Citation
Turner, M., Zhu, F., Kotsiopoulos, I., Russell, M., Budgen, D., Bennett, K., …Rigby, M. (2004). Using web service technologies to create an information broker : an experience report.
Presentation Conference Type | Conference Paper (Published) |
---|---|
Conference Name | 26th International Conference on Software Engineering (ICSE 2004). |
Publication Date | 2004-05 |
Publisher | Institute of Electrical and Electronics Engineers |
Series ISSN | 0270-5257 |
ISBN | 07695216303 |
Keywords | Software services, Healthcare. |
Public URL | https://durham-repository.worktribe.com/output/1697854 |
Publisher URL | http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?isnumber=29176&arnumber=1317477&count=127&index=68 |
Additional Information | Conference dates: 23-28 May 2003. |
You might also like
Cost and Effect of Using Scheduling Security Model in a Cloud Environment
(2019)
Presentation / Conference Contribution
Stacked Denoising Autoencoders for Mortality Risk Prediction Using Imbalanced Clinical Data
(2018)
Presentation / Conference Contribution
SSM: Scheduling Security Model for a Cloud Environment
(2018)
Presentation / Conference Contribution
Downloadable Citations
About Durham Research Online (DRO)
Administrator e-mail: dro.admin@durham.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2024
Advanced Search