Abstract: Uncertain data has already widely existed in many practical applications recently, such as sensor networks, RFID networks, location-based services and mobile object management. Uncertain data query as an important aspect of uncertain data management, plays an important role in information retrieval, data mining, decision making, environment monitoring and many other applications, and is emerging as a hotspot in the research of database, network computing and many other areas. Starting from the introduction of various query types and the analysis of the query characteristics in the current research of uncertain data queries, the four typical types of uncertain data query, i.e. uncertain skyline query, uncertain top-k query, uncertain nearest neighbor (NN) query and uncertain aggregation query are summarized. In this paper, the definitions and the specific features of the four kinds of uncertain data queries are discussed, and the main current studies of different uncertain data query types, as well as the advantages and disadvantages of various methods are addressed and analyzed. Finally, based on the analysis of the latest research work on the uncertain data queries, the future work is discussed and outlined.