arrow
返回

Pentagonal scheme for dynamic XML prefix labelling

delete2020-12-01
delete3
PRE
AI
D
Dhavalkumar Thakker
DOI:10.1016/j.knosys.2020.106446delete
delete原文链接
delete原文求助
delete分享
delete收藏
摘要

摘要

En 中文
In XML databases, the indexing process is based on a labelling or numbering scheme and generally used to label an XML document to perform an XML query using the path node information. Moreover, a labelling scheme helps to capture the structural relationships during query processing without the need to access the physical document. Two of the main problems for labelling XML schemes are duplicated labels, and cost efficiency regarding labelling time and size. This research presents a novel dynamic XML labelling scheme, called the Pentagonal Scheme, in which data are represented as ordered XML nodes with relationships between them. The update of these nodes from large-scale XML documents has been widely investigated and represents a challenging research problem, as it means relabelling a whole tree. Our algorithms provide an efficient dynamic XML labelling scheme to support data updates without duplicating labels or relabelling old nodes. Our work evaluates the labelling process in terms of size and time, and evaluates the labelling scheme's ability to handle several insertions in XML documents. The findings indicate that the Pentagonal scheme shows a better initial labelling time performance than compared schemes. Particularly when using large size XML datasets. Moreover, it efficiently supports random skewed updates, has fast calculations and uncomplicated implementations to thus handle updates efficiently. In addition, the comparable evaluation of the query response time and relationships in Pentagonal scheme can be efficiently performed without presenting any extra cost. It was for this reason that our labelling scheme achieved the goal of this research. (C) 2020 Elsevier B.V. All rights reserved.
Keyword:
XML labelling
Prefix scheme
Dewey labelling
Dynamic scheme
AI总结

AI总结

对已上传原文的论文进行重点信息的提取,主要内容包括:简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。

期刊

K
Knowledge-Based Systems
IF:
7.6
论文数:
1.3W
被引数:
4.5W

机构

U
University of Bradford
学者数:
3.3K
论文数: 3.5K
被引数: 4.2K
引用论文

引用论文

err分享
err收藏
CLINICAL FEATURES OF ADJUSTMENT DISORDER IN INTERNALLY DISPLACED WOMEN
err2020-01-01
err0
errOAAI
errLarysa O. Herasymenko; Rustam I. Isakov; Alina V. Halchenko; Pavlo V. Kydon
err分享
err收藏
Top-Down XML Keyword Query Processing
err2016-05-01
err8
PREAI
errZhou, Junfeng; Wang, Wei; Chen, Ziyang; Yu, Jeffrey Xu; Tang, Xian; Lu, Yifei; Li, Yukun
err分享
err收藏
An encoding scheme based on fractional number for querying and updating XML data
err2012-08-01
err14
PREAI
errMirabi, Meghdad; Ibrahim, Hamidah; Udzir, Nur Izura; Mamat, Ali
err分享
err收藏
CeIIML: its future, present and past
err2004-06-01
err359
errOAAI
errLloyd, CM; Halstead, MDB; Nielsen, PF
err分享
err收藏
Time-Delay Margin Analysis for an Adaptive Controller
err2012-09-01
err0
PREAI
errAndrei Dorobantu; Peter Seiler; Gary J. Balas
err分享
err收藏
People in Harm's Way: Flood Exposure and Poverty in 189 Countries
err
IF0
err2020-10-22
err0
errOAAI
errMelda Salhab; Jun Rentschler
err分享
err收藏
学者 查看更多内容