Discovering Concept Maps from Textual Sources

Concept maps and knowledge maps, often used as learning materials, enable users to recognize important concepts and the relationships between them. For example, concept maps can be used to provide adaptive learning guidance for learners such as path systems for curriculum sequencing to improve the effectiveness of learning process. Generation of concept maps typically involve domain experts, which makes it costly. In this paper, we propose a framework for discovering concepts and their relationships (such as prerequisites and relatedness) by analyzing content from textual sources such as a textbook. We present a prototype implementation of the framework and show that meaningful relationships can be uncovered.