pub:research:start
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pub:research:start [2013/10/31 15:36] – wta | pub:research:start [2018/10/14 20:49] – [Methods] gjn | ||
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===== Areas ===== | ===== Areas ===== | ||
- | GEIST is mainly focused on two broad //areas of application// of intelligent technologies and systems: | + | GEIST is mainly focused on the following |
- | - **Business Intelligence** (BSI) | + | - **knowledge engineering** including semantic information processing and explainability |
- | - **Ambient Intelligence** (AML) | + | - **business intelligence** including business process management |
+ | - **ambient intelligence** including context-aware systems | ||
+ | - **affective computing** with focus on emotion detection and interpretation in mobile systems | ||
===== Methods ===== | ===== Methods ===== | ||
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<WRAP right 40%> | <WRAP right 40%> | ||
The expertise of the Group includes: | The expertise of the Group includes: | ||
- | * design and implementation, | + | * design and implementation, |
* modelling and evaluation of business rules and processes, see the Bimloq project | * modelling and evaluation of business rules and processes, see the Bimloq project | ||
* distributed and collaborative knowledge management with semantic wikis, see the Loki semantic wiki system | * distributed and collaborative knowledge management with semantic wikis, see the Loki semantic wiki system | ||
* Semantic Knowledge Engineering methodology, | * Semantic Knowledge Engineering methodology, | ||
+ | * emotion detection and interpretation | ||
</ | </ | ||
pub/research/start.txt · Last modified: 2022/07/18 07:28 by sbk