1. Intelligent Database Systems Lab Presenter : JHOU, YU-LIANG Authors : Jae Hwa Lee, Aviv Segev 2012 CE Knowledge maps for e-learning

2. Intelligent Database Systems Lab Outlines Motivation Objectives Model structure Experiments Comments

3. Intelligent Database Systems Lab Motivation To build concept or knowledge maps requires manual effort of domain experts, but there are two drawbacks 1. The experts are hard to obtain. 2.The cost of map creation is high.

4. Intelligent Database Systems Lab Objectives In this paper, was made to automatically build a domain knowledge map for e-learning.

5. Intelligent Database Systems Lab Text-based learnig - Drawback 1.The index usually contains hundreds of concepts listed in alphabetical order with no relational information between them. 2.if a document is complex or long, then a reader may find it difficult to recognize the important concepts and the relationships among them.

6. Intelligent Database Systems Lab K-map model -overview

7. Intelligent Database Systems Lab Model structure Keyword extraction Relation extraction Relation labeling Keyword extraction

8. Intelligent Database Systems Lab Model structure Keyword extraction Relation extraction Relation labeling Relation extraction

9. Intelligent Database Systems Lab Experiment Recall of important sentences

10. Intelligent Database Systems Lab Experiment Recall of important sentences

11. Intelligent Database Systems Lab Experiment Learning performance Recall of free recall test

12. Intelligent Database Systems Lab Experiment Learning performance Comparison amount of non-related information

13. Intelligent Database Systems Lab Conclusion The work presented a method for automatic creation of knowledge map can help user learn.

14. Intelligent Database Systems Lab Comment Advantage The k-map can save the cost. Applications – Knowledge maps – E-learning