Abstract
This research aims to improve meteorological decision making through the application of knowledge management to the forecasting process. The aim of the research is not to solve the problems of forecasting but to provide appropriate support to enable forecasters to spend more time reflecting on the meteorological situation. To this end, we are engaged in change of the IT paradigm in this problem domain from the one based on scientific normative models to intelligent support. This change of paradigm allows forecasters not only perform the task but also to consistently share knowledge and learn from their collective experience. The paper also presents a system that allows diverse technologies to be employed in providing decision support for meteorological forecasting.
| Original language | English |
|---|---|
| Title of host publication | International Conference on Information Systems (ICIS) 2001 Proceedings |
| Editors | J George, B Ives |
| Place of Publication | USA |
| Publisher | American Institute of Science |
| Pages | 373-382 |
| Number of pages | 10 |
| Publication status | Published - Dec 2001 |
| Event | International Conference on Information Systems 2001 - New Orleans, United States of America Duration: 16 Dec 2001 → 19 Dec 2001 Conference number: 22nd https://aisel.aisnet.org/icis2001/ (Proceedings) |
Conference
| Conference | International Conference on Information Systems 2001 |
|---|---|
| Abbreviated title | ICIS 2001 |
| Country/Territory | United States of America |
| City | New Orleans |
| Period | 16/12/01 → 19/12/01 |
| Internet address |
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Keywords
- Decision support systems
- intelligent decision support
- knowledge management
- meteorological forecasting
- organizational issues
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