跳到主要导航 跳到搜索 跳到主要内容

SEMI: A scalable entity matching system based on mapreduce

  • East China Normal University

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

MapReduce framework provides a new platform for data integration on distributed environment. We demonstrate a MapReducebased entity resolution framework which efficiently solves the matching problem for structured, semi-structured and unstructured entities. We propose a random-based data representation method for reducing network transmission; we implement our design on MapReduce and design two solutions for reducing redundant comparisons. Our demo provides an easy-to-use platform for entity matching and performance analysis. We also compare the performance of our algorithm with the state-of-the-art blocking-based methods.

源语言英语
主期刊名Databases Theory and Applications - 26th Australasian Database Conference, ADC 2015, Proceedings
编辑Muhammad Aamir Cheema, Jianzhong Qi, Mohamed A. Sharaf
出版商Springer Verlag
328-332
页数5
ISBN(印刷版)9783319195476
DOI
出版状态已出版 - 2015
活动26th Australasian Database Conference, ADC 2015 - Melbourne, 澳大利亚
期限: 4 6月 20157 6月 2015

出版系列

姓名Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
9093
ISSN(印刷版)0302-9743
ISSN(电子版)1611-3349

会议

会议26th Australasian Database Conference, ADC 2015
国家/地区澳大利亚
Melbourne
时期4/06/157/06/15

指纹

探究 'SEMI: A scalable entity matching system based on mapreduce' 的科研主题。它们共同构成独一无二的指纹。

引用此