Proceedings of the 2016 International Conference on Artificial Intelligence: Technologies and Applications

Information System Domain Modeling for Adaptive Learning

Authors
Anqi Chen, Jimei Li
Corresponding Author
Anqi Chen
Available Online January 2016.
DOI
https://doi.org/10.2991/icaita-16.2016.54How to use a DOI?
Keywords
adaptive learning; information system; domain knowledge; knowledge modeling; ontology representation
Abstract
To meet the need of the adaptive learning platform, the relevant research results of the domain modeling have been analyzed and compared in this paper, including the methods of domain knowledge representation, the domain modeling methods and modeling technology based on ontology. And combining with the characteristics of the information system domain knowledge, the aforementioned modeling methods and modeling technology have been compared and evaluated respectively.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Volume Title
Proceedings of the 2016 International Conference on Artificial Intelligence: Technologies and Applications
Series
Advances in Intelligent Systems Research
Publication Date
January 2016
ISBN
978-94-6252-162-9
ISSN
1951-6851
DOI
https://doi.org/10.2991/icaita-16.2016.54How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Anqi Chen
AU  - Jimei Li
PY  - 2016/01
DA  - 2016/01
TI  - Information System Domain Modeling for Adaptive Learning
BT  - Proceedings of the 2016 International Conference on Artificial Intelligence: Technologies and Applications
PB  - Atlantis Press
SP  - 219
EP  - 222
SN  - 1951-6851
UR  - https://doi.org/10.2991/icaita-16.2016.54
DO  - https://doi.org/10.2991/icaita-16.2016.54
ID  - Chen2016/01
ER  -