This article presents a method to raise the generic reaction data to synthe
tic reaction knowledge and the implementation of retrosynthetic analysis on
computer. Retrosynthetic analysis is a key step of synthesis design. We us
e strategic bond based approach in this work as it has the advantage that i
ts logic is easier to implement. We propose a computing model-classificatio
n model of reaction knowledge. This model, which can relevantly describe th
e reaction knowledge, is defined by using 3 rules: Rule A-reaction type; Ru
le B-conditions of the reaction and Rule C-the circumstances where the reac
tion will not work. This computing model can extract the most important and
the most essential information from a huge amount of reaction data and con
vert them into the knowledge that is easily processed on computer, It also
includes the information about the full scope and limitations of each trans
form, accordingly the capability to extrapolate in parsing phase can be enh
anced.