Semi-Automatic Creation of Concept Maps (DAAV)

Concept Maps are a visual tool to summarize information and represent knowledge on a certain topic or focus question. They can facilitate the process of learning, understanding and memorization, and are often used in areas such as education, visual analytics and knowledge management. This thesis explores a semi-automatic approach to the creation of Concept Maps. With the help of Natural Language Processing and a web-based user interface, the process of Concept Map Mining, from unstructured textual data, should be made more efficient than a fully manual approach and yield more accurate results than a fully automatic approach.