Abstract: In this paper,various structure knowledge dictionaries were analyzed in the computability and computational complexity aspects．The grammatical knowledge-base of contemporary Chinese and Modern Chinese Semantic Dictionary,both from the Institute of Computational Chinese Linguistics of Peking University,were chosen as the knowledge source．Fusion method of more heterogeneous source was considered,and agile rules knowledge base and lexical collocation library were constructed,and a word sense disambiguation method of rules and statistics combination was designed．The method of combining maximum entropy and rule presents the highest accuracy in many kinds of word sense disambiguation method．Compared to the best result in the SemEval 2007(task #5),the MicroAve (micro-average accuracy) and MacroAve (macro-average accuracy) are promoted by 5.5% and 0.9%.

Key words: Word sense disambiguation,Knowledge source,Rule,Statistics