Accelerating XML structural join by partitioning

N. Tang; J.X. X. Yu; K.F. F. Wong; K. Lü; Jianxin Li

Accelerating XML structural join by partitioning

N. Tang, J.X. X. Yu, K.F. F. Wong, K. Lü, Jianxin Li

Research output: Chapter in Book/Conference paper › Conference paper

Abstract

Structural join is the core part of XML queries and has a significant impact on the performance of XML queries, several classical structural join algorithms have been proposed such as Stack-tree join and XR-Tree join. In this paper, we consider to answer the problem of structural join by partitioning. We first extend the relationships between nodes to the relationships between partitions in the plane and get some observations. We then propose a new partition-based method P-Join for structural join. Based on P-Join, moreover, we present an enhanced partitioned-based spatial structural join algorithm PSSJ. © Springer-Verlag Berlin Heidelberg 2005.

Original language	English
Title of host publication	Lecture Notes in Computer Science
Pages	280-289
Number of pages	10
Volume	3588
Publication status	Published - 2005
Event	16th International Conference on Database and Expert Systems Applications, DExa 2005 - Copenhagen, Denmark Duration: 22 Aug 2005 → 26 Aug 2005

Conference

Conference	16th International Conference on Database and Expert Systems Applications, DExa 2005
Period	22/08/05 → 26/08/05

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@inproceedings{8e634010a6d64ae793b6fa0941c34bbf,

title = "Accelerating XML structural join by partitioning",

abstract = "Structural join is the core part of XML queries and has a significant impact on the performance of XML queries, several classical structural join algorithms have been proposed such as Stack-tree join and XR-Tree join. In this paper, we consider to answer the problem of structural join by partitioning. We first extend the relationships between nodes to the relationships between partitions in the plane and get some observations. We then propose a new partition-based method P-Join for structural join. Based on P-Join, moreover, we present an enhanced partitioned-based spatial structural join algorithm PSSJ. {\textcopyright} Springer-Verlag Berlin Heidelberg 2005.",

author = "N. Tang and Yu, {J.X. X.} and Wong, {K.F. F.} and K. L{\"u} and Jianxin Li",

year = "2005",

language = "English",

isbn = "03029743",

volume = "3588",

pages = "280--289",

booktitle = "Lecture Notes in Computer Science",

note = "16th International Conference on Database and Expert Systems Applications, DExa 2005 ; Conference date: 22-08-2005 Through 26-08-2005",

}

TY - GEN

T1 - Accelerating XML structural join by partitioning

AU - Tang, N.

AU - Yu, J.X. X.

AU - Wong, K.F. F.

AU - Lü, K.

AU - Li, Jianxin

PY - 2005

Y1 - 2005

N2 - Structural join is the core part of XML queries and has a significant impact on the performance of XML queries, several classical structural join algorithms have been proposed such as Stack-tree join and XR-Tree join. In this paper, we consider to answer the problem of structural join by partitioning. We first extend the relationships between nodes to the relationships between partitions in the plane and get some observations. We then propose a new partition-based method P-Join for structural join. Based on P-Join, moreover, we present an enhanced partitioned-based spatial structural join algorithm PSSJ. © Springer-Verlag Berlin Heidelberg 2005.

AB - Structural join is the core part of XML queries and has a significant impact on the performance of XML queries, several classical structural join algorithms have been proposed such as Stack-tree join and XR-Tree join. In this paper, we consider to answer the problem of structural join by partitioning. We first extend the relationships between nodes to the relationships between partitions in the plane and get some observations. We then propose a new partition-based method P-Join for structural join. Based on P-Join, moreover, we present an enhanced partitioned-based spatial structural join algorithm PSSJ. © Springer-Verlag Berlin Heidelberg 2005.

M3 - Conference paper

SN - 03029743

VL - 3588

SP - 280

EP - 289

BT - Lecture Notes in Computer Science

T2 - 16th International Conference on Database and Expert Systems Applications, DExa 2005

Y2 - 22 August 2005 through 26 August 2005

ER -