Understandable Big Data: A survey

作者：Kacfah Emani Cheikh; Cullot Nadine; Nicolle Christophe^*

来源：Computer Science Review, 2015, 17: 70-81.

DOI：10.1016/j.cosrev.2015.05.002

• Co-reference resolutions
• Entity linking
• Hadoop
• Ontology alignment
• Reasoning

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.

• 出版日期2015