Related Axis: The Extension to XPath Towards Effective XML Search |
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| Authors: | Jun-Feng Zhou Tok Wang Ling Zhi-Feng Bao Xiao-Feng Meng |
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| Affiliation: | (1) School of Information Science and Engineering, Yanshan University, Qinhuangdao, 066004, China;(2) School of Information, Renmin University of China, Beijing, 100872, China;(3) School of Computing, National University of Singapore, 117417 Singapore, Singapore |
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| Abstract: | We investigate the limitations of existing XML search methods and propose a new semantics, related relationship, to effectively
capture meaningful relationships of data elements from XML data in the absence of structural constraints. Then we make an
extension to XPath by introducing a new axis, related axis, to specify the related relationship between query nodes so as
to enhance the flexibility of XPath. We propose to reduce the cost of computing the related relationship by a new schema summary
that summarizes the related relationship from the original schema without any loss. Based on this schema summary, we introduce
two indices to improve the performance of query processing. Our algorithm shows that the evaluation of most queries can be
equivalently transformed into just a few selection and value join operations, thus avoids the costly structural join operations.
The experimental results show that our method is effective and efficient in terms of comparing the effectiveness of the related
relationship with existing keyword search semantics and comparing the efficiency of our evaluation methods with existing query
engines. |
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| Keywords: | XML XPath related axis entity graph schema summary |
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