Understandable Big Data: A survey

Affiliation auteurs!!!! Error affiliation !!!!
TitreUnderstandable Big Data: A survey
Type de publicationJournal Article
Year of Publication2015
AuteursEmani CKacfah, Cullot N, Nicolle C
JournalCOMPUTER SCIENCE REVIEW
Volume17
Pagination70-81
Date PublishedAUG
Type of ArticleArticle
ISSN1574-0137
Mots-clésbig data, Coreference resolution, Entity linking, Hadoop, Information extraction, Ontology alignment, Reasoning
Résumé

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.

DOI10.1016/j.cosrev.2015.05.002