Abstract
| Language | English |
|---|---|
| Number of pages | 6 |
| Publication status | Published - 2005 |
| Event | IPS-USA 2005 - Cambridge, Massachusetts, USA Duration: 7 Jul 2005 → 10 Jul 2005 |
Conference
| Conference | IPS-USA 2005 |
|---|---|
| City | Cambridge, Massachusetts, USA |
| Period | 7/07/05 → 10/07/05 |
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Keywords
- knowledge visualization
- Doctus
- expert system
- knowledge management
- decision support systems
Cite this
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Knowledge visualization by Doctus Knowledge Galaxy. / Baracskai, Zoltán; Velencei, Jolán; Dörfler, Viktor.
2005. Paper presented at IPS-USA 2005, Cambridge, Massachusetts, USA, .Research output: Contribution to conference › Paper
TY - CONF
T1 - Knowledge visualization by Doctus Knowledge Galaxy
AU - Baracskai, Zoltán
AU - Velencei, Jolán
AU - Dörfler, Viktor
PY - 2005
Y1 - 2005
N2 - Making an attempt to develop a curriculum for web-based learning, we have realized that the existing solutions have adopted the traditional content management principles of printed books. By doing so, these solutions do not make use of benefits of a web-based system, namely the multimedia and the interactivity. Our new solution puts these benefits into the focus. Combining the features of semantic networks, cognitive maps and machine learning, we have developed a new generation knowledge visualization tool called Doctus Knowledge Galaxy shell. In our solution the topics and keywords are not in a sequential order, thus enabling the e-learner to choose her/his own learning route. The monitoring system of Doctus Knowledge Galaxy also allow us to observe how much time the learner spends on particular keywords and which next keyword she/he chooses after concluding a previous one by passing the test. The most important achievement of Doctus Knowledge Galaxy is its clear and transparent structure, which enables the learners into fast navigation and provides the developers with useful information about the learning routes and performance of the learner.
AB - Making an attempt to develop a curriculum for web-based learning, we have realized that the existing solutions have adopted the traditional content management principles of printed books. By doing so, these solutions do not make use of benefits of a web-based system, namely the multimedia and the interactivity. Our new solution puts these benefits into the focus. Combining the features of semantic networks, cognitive maps and machine learning, we have developed a new generation knowledge visualization tool called Doctus Knowledge Galaxy shell. In our solution the topics and keywords are not in a sequential order, thus enabling the e-learner to choose her/his own learning route. The monitoring system of Doctus Knowledge Galaxy also allow us to observe how much time the learner spends on particular keywords and which next keyword she/he chooses after concluding a previous one by passing the test. The most important achievement of Doctus Knowledge Galaxy is its clear and transparent structure, which enables the learners into fast navigation and provides the developers with useful information about the learning routes and performance of the learner.
KW - knowledge visualization
KW - Doctus
KW - expert system
KW - knowledge management
KW - decision support systems
M3 - Paper
ER -