By Giuseppe Castagna (auth.), Stéphane Bressan, Stefano Ceri, Ela Hunt, Zachary G. Ives, Zohra Bellahsène, Michael Rys, Rainer Unland (eds.)
ISBN-10: 3540285830
ISBN-13: 9783540285830
This publication constitutes the refereed lawsuits of the 3rd foreign XML Database Symposium, XSym 2005, held in Trondheim, Norway in August 2005 along with VLDB 2005 and in coordination with the Database and Programming Languages Symposium, DBPL 2005.
The 15 revised complete papers have been rigorously reviewed and are preluded through a joint XSym-DBPL keynote speak. The papers are equipped in topical sections on indexing aid for the overview of XPath and XQuery; benchmarks and algorithms for XQuery and XPath review; algorithms for constraint pride checking, info extraction, and subtree matching; and purposes of XML in details systems.
Read or Download Database and XML Technologies: Third International XML Database Symposium, XSym 2005, Trondheim, Norway, August 28-29, 2005. Proceedings PDF
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Extra resources for Database and XML Technologies: Third International XML Database Symposium, XSym 2005, Trondheim, Norway, August 28-29, 2005. Proceedings
Sample text
A nested loop is used to find the matching pairs of path ids based on the path id containment property. Any path id that does not satisfy the path id containment relationship is removed from the lists of path ids of both parent and child nodes. Algorithm 1 P Join (T ) Input: T - An XML Query. Output: Path ids for the nodes in T . 1. Associate every node in T with its path ids. 2. Perform a bottom-up binary path join on T . 3. Perform a top-down binary path join on T . C D { d2, d3, d4 } C D { d3 } E { e3, e4, e5 } C D { d3 } { c3 } { c1, c3 } { c1, c3 } B { b3 } B { b3 } B { b1, b2, b3, b4 } E { e3, e4 } E { e3 } (c) Result of Bottom−Up Path Join (a) XML Query T1 (b) Result of Bottom−Up Path Join Followed by Top−Down Path Join Fig.
Sg Abstract. The structural join has become a core operation in XML query processing. This work examines how path information in XML can be utilized to speed up the structural join operation. We introduce a novel approach to pre-filter path expressions and identify a minimal set of candidate elements for the structural join. The proposed solution comprises of a path-based node labeling scheme and a path join algorithm. The former associates every node in an XML document with its path type, while the latter greatly reduces the cost of subsequent element node join by filtering out elements with irrelevant path types.
We now look into the question of how to search for embeddings from p to tL+1 efficiently. We shall now present an algorithm that searches for embeddings in the general case. We first need a data structure to store the embeddings with the matching between return nodes annotated. We use the term ‘sub-graph tree’ to refer to a tree that is a sub-graph. ) We use the term embedding-tree to refer to a tree that stores embeddings. An Embedding tree consists of two kinds of nodes, P_nodes (for pattern tree) and I_nodes (for input tree).
Database and XML Technologies: Third International XML Database Symposium, XSym 2005, Trondheim, Norway, August 28-29, 2005. Proceedings by Giuseppe Castagna (auth.), Stéphane Bressan, Stefano Ceri, Ela Hunt, Zachary G. Ives, Zohra Bellahsène, Michael Rys, Rainer Unland (eds.)
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