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Resource Description Framework (RDF), proposed by W3C, has become the de-facto standard for representing knowledge. Keyword query is a simple and effective way to analyze RDF data, which has been extensively studied. However, in many application scenarios, RDF may contain ambiguous information. The fuzzy RDF graph model is an important way to describe this fuzzy information. Unfortunately, keyword query methods for this fuzzy RDF graph model are rarely covered in the literature. In order to provide an effective tool for general users to analyze fuzzy RDF, this paper proposes a fuzzy RDF keyword query method. The main idea of this query method is to first retrieve the corresponding keyword elements in the graph by keywords, then obtain the shortest path between the keyword elements by graph search methods, and finally merge this shortest path into an answer tree. Experiments show that the method in this paper has higher query efficiency and better query quality compared to the baseline method.
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