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| A Flexible XML Query and Results Ranking Approach |
| Xiangfu Meng, Xiaoyan Zhang, Xing Wang |
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Abstract Users often have imprecise ideas when searching the XML data and may
not be able to formulate queries that accurately express their query
intentions. Therefore, the query predicates user submitted could not
act as rigid constraints for the answer elements. This paper
presents a novel approach, XFQR (XML Flexible Query {\&} Ranking),
for relaxing the original query to provide approximate answer
elements to the user. XFQR extends the categorical query predicates
with the most similar values by evaluating the similarity of
different pairs of values in the query history and expands the
numerical query range to nearby values by using the kernel density
estimation technology. XFQR speculates the importance of each
specified leaf node based on the user query and assigns the score of
each value of leaf node according to its ``desirableness'' to the
user, and then the relevant answer elements are ranked according to
their satisfaction degree to the user's needs. The results of
preliminary experiment have identified the efficiency of our XFQR
approach.
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