文章基本信息

标题：Review of Large-Scale RDF Data Processing in MapReduce
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作者：Ke Hou ; Jing Zhang ; Xing Fang 等
期刊名称：Journal of Software Engineering
印刷版ISSN：1819-4311
电子版ISSN：2152-0941
出版年度：2015
卷号：9
期号：1
页码：195-202
DOI：10.3923/jse.2015.195.202
出版社：Academic Journals Inc., USA
摘要：Resource Description Framework (RDF) is an important data presenting standard of semantic web and how to process, the increasing RDF data is a key problem for development of semantic web . MapReduce is a widely-used parallel programming model which can provide a solution to large-scale RDF data processing. This study reviews the recent literatures on RDF data processing in MapReduce framework in aspects of the forward-chaining reasoning, the simple querying and the storage mode determined by the related querying method. Finally, it is proposed that the future research direction of RDF data processing should aim at the scalable, increasing and complex RDF data query.