The current knowledge retrieval is retrieval speed is slow

the problem of low efficiency. Put forward a way of knowledge retrieval based on natural language processing

the use of a semi-supervised algorithms for natural language description

to construct knowledge retrieve objects for all undirected graph

in the undirected graph

transmission method to design a label

there will be passed to the rest of the data sample no marking data samples

complete all the data in the undirected graph marking process. Using TextRank way

in view of the data to select keywords after all the tags

according to the keywords in retrieve objects to realize the process of knowledge retrieval. The experimental results show that the algorithm presented in this paper a knowledge retrieval

can effectively improve the speed of knowledge retrieval

in a short period of time to complete the process of knowledge retrieval

improve user satisfaction.