Result Ranking Of XML Keyword Query Over XML Document

In the realm of keyword-based XML retrieval with multiple results, we present a XML semantic weight-value structural model which can speculate the relationship of the keywords and the SLCA nodes based on the characteristic of XML documents and the structural relationship of SLCA. This model calculates the discriminating degree and the describing degree of the nodes to the documents by structural analyzing of the SLCA nodes and the keywords, and it designs a keyword-based query result ranking under the SLCA structure. This kind of method can improve the accuracy rate of the search results, return results that catch the user's query intention better and output the most relevant information for users. The validity of this method has been proved by simulated data set experiment.