Augmented Pattern Matching Based on Concept Lattice Scale
Zongtian Liu · 2008
In order to improve computers' understanding ability of natural language,semantic pattern matching based on concept lattice scale was promoted.This method is seen as an augmentation of traditional pattern matching.It first utilized concept lattice's own hierarchical structure establishing semantic scale,then used isomorphs between two scales to realize semantic pattern matching of two different concepts.Graduation conversion between different scales was also studied.The research shows that our method confirms the way people look at the world,and can be realized by the computer to improve natural language processing ability.