Understandable Big Data: A survey
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Titre | Understandable Big Data: A survey |
Type de publication | Journal Article |
Year of Publication | 2015 |
Auteurs | Emani CKacfah, Cullot N, Nicolle C |
Journal | COMPUTER SCIENCE REVIEW |
Volume | 17 |
Pagination | 70-81 |
Date Published | AUG |
Type of Article | Article |
ISSN | 1574-0137 |
Mots-clés | big 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. |
DOI | 10.1016/j.cosrev.2015.05.002 |