Hyponymy, a kind of basic semantic relation between words， is widly used in areas, including text classification and information retrieval. Automatic extraction of such relation is an important issue in natural language processing. Two kinds of hyponymy extraction strategy, i.e., dictionary based strategy and encyclopedia basedstrategy are proposed to build a sophisticated hyponymy knowledge base. Chinese Concept Dictionary and Chinese Classied Subject Thesaurus are used as dictionary resources. Manual regex is introduced to extract hyponym from wikipedia,baidubaike and hudongbaike based on addresses of web pages. Extensive experimental evaluationdemonstrates that the proposed strategies outperform the NLP&CC 2012 evaluation results.