There are different challenges between natural language and structured knowledge in the field of question answering based on knowledge graphs. Therefore, this paper proposes a method of using predicates to select paths (PMKBQA). A multimodal domain knowledge graph and question set were constructed. Starting from the subject entity identified in the question, calculating the similarity between its edge and the question predicate, and generating the answer path hop by hop until the answer to the question was found. Relevant images of the answer of the question according to the answer path were acquired. The user satisfaction evaluation experiment was done on the domain question set, and the results show that this paper can provide users with satisfactory images. Meanwhile, a question answering effect evaluation experiment is done on the QALD data set, and the results show that our method is better than the baseline method in F1.