4.7 Article

Understandable Big Data: A survey

Journal

COMPUTER SCIENCE REVIEW
Volume 17, Issue -, Pages 70-81

Publisher

ELSEVIER
DOI: 10.1016/j.cosrev.2015.05.002

Keywords

Big data; Hadoop; Reasoning; Coreference resolution; Entity linking; Information extraction; Ontology alignment

Ask authors/readers for more resources

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.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.7
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available