pub:research:start
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- | ====== Research ====== | + | ~~NOTOC~~ |
+ | {{page> pub: | ||
- | ===== Overview | + | ====== GEIST Research Profile ====== |
- | GEIST is active | + | {{: |
+ | **[[https:// | ||
+ | was created in 2009 by Grzegorz J. Nalepa and Antoni Ligęza and a group of dynamic young researches. | ||
+ | The research interests of the Group is located | ||
+ | It is focused on the methods, and tools for developing and applying intelligent | ||
- | For details see: | + | <WRAP clear></ |
- | {{nstoc 1}} | + | |
+ | ===== Areas ===== | ||
- | ===== Main research | + | GEIST is mainly focused on the following //areas of development |
+ | - **explainable AI (XAI), machine learning and data mining** including big data analysis in practical applications | ||
+ | - **knowledge engineering** including semantic information processing, knowledge graphs and semantic wikis | ||
+ | - **business intelligence** including business process management | ||
+ | - **ambient intelligence** including context-aware systems and augmented reality | ||
+ | - **affective computing** with focus on personalized emotion processing in intelligent systems | ||
- | === Design, Implementation | + | ===== Methods ===== |
+ | <WRAP column half> | ||
+ | We use and develop specific //methods and tools// such as for: | ||
+ | * knowledge representation and reasoning (KRR), | ||
+ | * knowledge engineering | ||
+ | * rule-based systems, | ||
+ | * formal verification, | ||
+ | * knowledge graphs, | ||
+ | * semantic annotations | ||
+ | * semantic wikis, | ||
+ | * explainable artificial intelligence (XAI), | ||
+ | * machine learning (ML) techniques, | ||
+ | * context-aware applications, | ||
+ | * edge AI solutions, | ||
+ | * human-computer interaction (HCI), | ||
+ | * augmented reality (AR), | ||
+ | * affective computing (AfC), | ||
+ | * experimental studies, incl. experiments in game environments. | ||
+ | </ | ||
- | The GEIST team has deep theoretical | + | <WRAP column half> |
- | practical tools. These tools are being actively used and extended | + | The expertise of the Group includes: |
- | support the design of Business Rules and Processes. | + | * design |
+ | * modelling and evaluation of business rules and processes, | ||
+ | * distributed and collaborative knowledge management with semantic wikis (see [[https:// | ||
+ | * development of knowledge graphs, including business solutions (e.g., | ||
+ | * gathering and processing of a variety of sensory data, such as accelerometer, | ||
+ | * emotion detection and interpretation, | ||
+ | * design | ||
+ | * designing experimental research in a game-based environment (see [[https:// | ||
+ | </ | ||
- | Members of the team co-organize the [[http:// | + | <WRAP clear>< |
- | | + | |
+ | ===== Contacts ===== | ||
- | === Semantic Knowledge Engineering with Semantic Wikis === | + | Finally the group is active |
- | + | * international consortia under [[https:// | |
- | The GEIST team has practical experience | + | * scientific collaboration with Universities |
- | ICCCI conference. | + | * teaching collaboration in the scope of the Erasmus LPP |
- | Members | + | * participation |
- | + | * see also the [[https:// | |
- | Members | + | |
+ | **We are looking for partners, and projects -- [[pub: |
pub/research/start.1256766024.txt.gz · Last modified: 2009/10/28 21:40 by wtf