Understandable Big Data: A survey

被引：154
|
作者：
Emani, Cheikh Kacfah [1 ]
Cullot, Nadine [1 ]
Nicolle, Christophe [1 ]
机构：
[1] Univ Bourgogne Franche Comte, ENSAM, CNRS, LE2I,UMR6306, F-21000 Dijon, France
来源：
COMPUTER SCIENCE REVIEW | 2015年 / 17卷
关键词：
Big data; Hadoop; Reasoning; Coreference resolution; Entity linking; Information extraction; Ontology alignment;
D O I：
10.1016/j.cosrev.2015.05.002
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This survey presents the concept of Big Data. Firstly, a definition and the features of Big Data are given. Secondly, the different steps for Big Data data processing and the main problems encountered in big data management are described. Next, a general overview of an architecture for handling it is depicted. Then, the problem of merging Big Data architecture in an already existing information system is discussed. Finally this survey tackles semantics (reasoning, coreference resolution, entity linking, information extraction, consolidation, paraphrase resolution, ontology alignment) in the Big Data context. (C) 2015 Elsevier Inc. All rights reserved.
引用
收藏
页码：70 / 81
页数：12
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