Coreference resolution is a widely used technology to judge whether pronouns can match with the entity existing before in the text, which plays a crucial role in intelligent processing for massive text information on internet. A coreference resolution study, especially on the frequently-used Chinese personal pronouns, was carried out with the result of a developed algorithm with the combination of semantics and rules. Based on fundamental filtration rules, an improved mechanism specific to apposition was also adopted. To raise the accuracy of calculating the synonyms distances, the algorithm identified the associative-word of personal pronouns and selected antecedents based method for analyzing semantic relations and selecting high relevancy antecedent, which was realized with the aid of Tongyici Cilin and HowNet. Comparison experiments with different methods and experiments on the real corpus dataset were conducted, and results show that the presented method achieves higher validity and obvious improvement.