We present an approach used in CSDTA (Canonical Sequence Directed Tactics Analyzer) that uses canonical sequences (Joseki) in hoping to improve computer Go programs. We collect 1278 canonical sequences and their deviations in our system. Instead of trivially matching the current game to the collected sequences, we define a notion of similarity to extract the most suitable move from the candidate sequences for the next move. The simplicity of our method and its positive outcome make our approach a promising tool to be integrated into a complete computer Go program for a foreseeable improvement.