Modeling the thought has been subject of deep research in many different, and apparently disimile areas, such as psychology, history, computer sciences and antropology. By the middle of the century, machines were developed in the aim of modeling this thought and capable of answering question in "human way".
This universal aim seemed to be too huge and models were designed to answer very much reduced problems. We can find in the area of artificial intelligence different tools which can model some problems. we can find in the area of artificial intelligence different tools which can model some problems. In particular, hypermedia concepts mapping serves as a tool to show a concept structure of a subject an the relation among other more basic concepts.
In the area of database the entity-relationship model has overcome a universal tool to deal with information processing problems,. Completely far away, the area of teaching and learning has developed many tools to afford the problem of modeling the thought by understanding the way we think and we layout ideas.
In this work, we analyse this two models, com[are them and arrive to some conclusions of their similarities and differences; even if their application areas are absolutely different, they share a common structural point and we also analyse the usefulness of solving a problem using one model by knowing the other.