Analysis and implementation of algorithms for similarity matching of concepts in conceptual maps

Conceptual maps are graphical tools that represent the relations between concepts. They are useful for learning, assessment, organization and representation of knowledge by assisting in the retention and retrieval of information during the learning process. Therefore, they are used in the most different purposes. However, there are difficulties in comparing conceptual maps referring to the syntax and semantic of the concepts used. This work aimed to implement, analyze and qualify algorithms for similarity comparison of concepts present in conceptual maps.