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Content Provider | IEEE Xplore Digital Library |
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Author | Chengwen Wu Jinxiang Dong Gang Chen Lihua Yu |
Copyright Year | 2006 |
Description | Author affiliation: Coll. of Comput. Sci., Zhejiang Univ., Hangzhou (Chengwen Wu; Jinxiang Dong; Gang Chen; Lihua Yu) |
Abstract | XML is rapidly emerging as a standard for information storage, representation and exchange on the Web. How to rapidly search and query XML documents efficiently has received many attentions in resent research. However, current querying schemes of XML documents typically involve in both node content and tree structural information, which may limit efficiency when facing the application that the tree structural information is more complicated than the tree node itself. In this paper, we propose the node relationships joins algorithms that utilize available indexes mainly on tree structural information. The relationships join algorithms work perfectly especially for searching paths that are very long or whose lengths are unknown. Experimental results from our prototype system implementation highlight the correctness and efficiency of our solution |
Sponsorship | IEEE Beijing Section |
Starting Page | 1 |
Ending Page | 5 |
File Size | 5866131 |
Page Count | 5 |
File Format | |
ISBN | 142440164X |
DOI | 10.1109/CSCWD.2006.253228 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2006-05-03 |
Publisher Place | China |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | XML Collaborative work Navigation Tree data structures Educational institutions Computer science Prototypes Database languages Communications technology Information representation Numbering Node Relationship Join Element Index Relationship Index |
Content Type | Text |
Resource Type | Article |
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