ETRI-Knowledge Sharing Plaform

KOREAN
논문 검색
Type SCI
Year ~ Keyword

Detail

Journal Article Advanced Structural Joins using Element Distribution
Cited 6 time in scopus Share share facebook twitter linkedin kakaostory
Authors
Jong Ik Kim
Issue Date
2006-11
Citation
Information Sciences, v.176, no.22, pp.3300-3331
ISSN
0020-0255
Publisher
Elsevier
Language
English
Type
Journal Article
DOI
https://dx.doi.org/10.1016/j.ins.2006.01.002
Abstract
For accelerating a structural join operation, current techniques focus on skipping elements that do not contribute to the results. They make use of external index structures (e.g. B+ tree) to determine a bunch of elements to be skipped. However, external indexes are too heavy for a structural join and the overhead of index lookups can reduce the benefit of skipping. In this paper, we proposed element trees and distribution encoded bitmaps for efficient element skipping. With proposed techniques, we can exploit the distribution of elements as well as the context information of a query for efficient skipping of unnecessary elements. © 2006 Elsevier Inc. All rights reserved.
KSP Keywords
Context Information, Index Structure, Structural join, distribution of elements, element distribution, join operation