CG2A: Conceptual Graphs Generation Algorithm

Conceptual Graphs (CGs) are a formalism to represent knowledge. However producing CG database is complex. To the best of our knowledge, existing methods do not fully use expressivity CGs. It particularly troublesome as it necessary have databases test and validate algorithms running on This paper proposes CG2A, an algorithm build synthetic CGs exploiting most their expressivity. CG2A takes input constraints that constitute ontological knowledge including vocabulary set with some label variables, called γ-CGs, components generated Extensions also enable automatic generation γ-CGs ease increase variability.