To solve the problem that the methods currently used to construct Chinese knowledge graph system are time-consuming, have low accuracy and require a lot of manual intervention, an integrated end-to-end automatically constructed solution based on rich data from Chinese encyclopedia was proposed, and a user-oriented Chinese knowledge graph was implemented. In this solution, some property and related text information of the original encyclopedia data were scraped to local system uninterruptedly by the custom Web crawler, and saved as a triple with extended attributes. Through graph-oriented database Cayley and document-oriented database MongoDB, the data in the archived triple files was imported in the back-end system, and then converted to a huge knowledge graph system in order to provide various services dependent on the Chinese knowledge graph in the front-end system. Compared with other knowledge graph systems, the proposed system significantly reduces the construction time; moreover, the number of entities and relations is at least 50% higher than that of the other knowledge graph systems such as YAGO, HowNet and the Chinese Concept Dictionary.