Abstract:
Concept maps are graphical tools for organizing and representing knowledge. Many
educators and researchers have exploited CMs in a number of ways, including evaluation or
assessment tools, knowledge management and cooperative meaningful learning tools in
education. The construction of concept maps is typically done either manually or automatically.
The term Concept Map Mining (CMM) is used to refer to the automatic generation of Concept
Map from document. This thesis gives an overview of concept map Mining and their different
approaches, then we introduce our method for automatic generation of concept map from a text.
The proposed method uses an unsupervised algorithm and NLP tools.
