Algebraic incremental maintenance of XML views

Author:

Bonifati Angela1,Goodfellow Martin2,Manolescu Ioana3,Sileo Domenica4

Affiliation:

1. Lille 1 University and Inria Links, France

2. University of Strathclyde, UK

3. Inria Saclay and Université Paris Sud, France

4. University of Basilicata, Italy

Abstract

Materialized views can bring important performance benefits when querying XML documents. In the presence of XML document changes, materialized views need to be updated to faithfully reflect the changed document. In this work, we present an algebraic approach for propagating source updates to XML materialized views expressed in a powerful XML tree pattern formalism. Our approach differs from the state-of-the-art in the area in two important ways. First, it relies on set-oriented, algebraic operations, to be contrasted with node-based previous approaches. Second, it exploits state-of-the-art features of XML stores and XML query evaluation engines, notably XML structural identifiers and associated structural join algorithms. We present algorithms for determining how updates should be propagated to views, and highlight the benefits of our approach over existing algorithms through a series of experiments.

Funder

Agence Nationale de la Recherche

Publisher

Association for Computing Machinery (ACM)

Subject

Information Systems

Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Incremental Graph Computations: Doable and Undoable;ACM Transactions on Database Systems;2022-05-23

2. PG-Keys: Keys for Property Graphs;Proceedings of the 2021 International Conference on Management of Data;2021-06-09

3. Materialized View Maintenance: Issues, Classification, and Open Challenges;International Journal of Cooperative Information Systems;2019-03

4. Incremental Graph Computations;Proceedings of the 2017 ACM International Conference on Management of Data;2017-05-09

5. HyXAC: Hybrid XML Access Control Integrating View-Based and Query-Rewriting Approaches;IEEE Transactions on Knowledge and Data Engineering;2015-08-01

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3