XML keyword search provides a simple and user-friendly way of retrieving data from XML databases, but the ambiguities of keywords make it difficult to effectively answer keyword queries. XReal [4] utilizes the statistics of underlying data to resolve keyword ambiguity problems. However, we found their proposed formula for inferring the search-for node type suffers from inconsistency and abnormality problems. In this paper, we propose a dynamic reduction factor scheme as well as a novel algorithm Dynamic Infer to resolve these two problems. Experimental results are provided to verify the effectiveness of our approach.
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