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ICDE
2005
IEEE
103views Database» more  ICDE 2005»
14 years 9 months ago
Vectorizing and Querying Large XML Repositories
Vertical partitioning is a well-known technique for optimizing query performance in relational databases. An extreme form of this technique, which we call vectorization, is to sto...
Peter Buneman, Byron Choi, Wenfei Fan, Robert Hutc...
DKE
2007
119views more  DKE 2007»
13 years 7 months ago
XML subtree reconstruction from relational storage of XML documents
Numerous researchers have proposed to use relational databases to store and query XML documents. In these systems, the elements selected by an XML query are returned to an applica...
Artem Chebotko, Mustafa Atay, Shiyong Lu, Farshad ...
XSYM
2004
Springer
88views Database» more  XSYM 2004»
14 years 29 days ago
Teaching Relational Optimizers About XML Processing
Due to their numerous benefits, relational systems play a major role in storing XML documents. XML also benefits relational systems by providing a means to publish legacy relatio...
Sihem Amer-Yahia, Yannis Kotidis, Divesh Srivastav...
JIDM
2010
131views more  JIDM 2010»
13 years 2 months ago
Processing Queries over Distributed XML Databases
The increasing volume of data stored as XML documents makes fragmentation techniques an alternative to the performance issues in query processing. Fragmented databases are feasible...
Guilherme Figueiredo, Vanessa P. Braganholo, Marta...
CIMCA
2008
IEEE
13 years 9 months ago
RIAL: Redundancy Reducing Inlining Algorithm to Map XML DTD to Relations
XML has emerged as a common standard for data exchange over the World Wide Web. One way to manage XML data is to use the power of relational databases for storing and q...
Amir Jahangard Rafsanjani, Seyed-Hassan Mirian-Hos...