Understandable Big Data: A survey

Abstract : 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
Type de document :
Article dans une revue
Computer Science Review, Elsevier, 2015, 17, pp.70 - 81
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Contributeur : Nadine Cullot <>
Soumis le : mercredi 9 septembre 2015 - 16:44:37
Dernière modification le : mercredi 12 septembre 2018 - 01:26:58


  • HAL Id : hal-01196380, version 1



Cheikh Emani, Nadine Cullot, Christophe Nicolle. Understandable Big Data: A survey. Computer Science Review, Elsevier, 2015, 17, pp.70 - 81. 〈hal-01196380〉



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