Intelligent Database Systems Lab
Presenter : JHOU, YU-LIANG
Authors : Jae Hwa Lee, Aviv Segev
2012 CE
Knowledge maps for e-learning
Intelligent Database Systems Lab
Outlines
MotivationObjectivesModel structureExperimentsComments
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.
Intelligent Database Systems Lab
Objectives
• In this paper, was made to automatically build a domain knowledge map for e-learning.
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.
Intelligent Database Systems Lab
K-map model -overview
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Model structure
Keyword extraction
Relation extraction
Relation labeling
Keyword extraction
Intelligent Database Systems Lab
Model structure
Keyword extraction
Relation extraction
Relation labeling
Relation extraction
Intelligent Database Systems Lab
Experiment
• Recall of important sentences
Intelligent Database Systems Lab
Experiment
• Recall of important sentences
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ExperimentLearning performance
• Recall of free recall test
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ExperimentLearning performance
• Comparison amount of non-related information
Intelligent Database Systems Lab
Conclusion• The work presented a method for automatic creation
of knowledge map can help user learn.
Intelligent Database Systems Lab
Comment• Advantage
The k-map can save the cost.
• Applications– Knowledge maps– E-learning