Abstract: With the new generation of information technology’s development and its application in geology, such as the Internet of things, the Internet, big data and cloud computing.How to retrieve more complete and more accurate information from the massive geological data, and provide it to user in a appreciate way is a question need to be resolved.In this paper we first define a semantic model towards geological big data and provide the construction method of this model based on the knowledge graph technology.Then, we propose a semantic retrieval and clustering analysis method.Finally, some related experiments were carried out by the geological big data retrieval system implemented.Experimental results show that the method has high recall and precision efficiency than others.