ONTOLOGY OF BIG DATA ANALYTICS

Vasyl Lytvyn, Victoria Vysotska, Oleh Veres

Abstract


This article describes the features of classification methods and technologies analytics Big Data. There are described: a group of methods and technologies, analytics Big Data that are graded according to the functional relationships and formal model of information technology, the problem of the definition of ontology concepts analytics Big Data. Big Data as a technology turns out to be of great practical importance since it enables solving topical issues of everyday life while at the same time constantly creating new ones. Big Data can change the way we live, work and think. Nowadays the ability to store and analyze large volumes and streams of information turns out to be one of the key preconditions for the successful development of global economy. The countries which will master the most effective ways of working with Big Data are thought to face an industrial evolution of new kind. The branch of Big Data consolidates efforts of the organization in terms of storing, processing and analyzing large data sets. Thus, using the formal model developed as well as the results of the critical analysis conducted, an ontology for the analysis of Big Data may be created. Further research will be focused on investigating methods, models, and tools to refine the ontology for the analysis of Big Data and to provide more effective maintenance for the development of structural components for the model of decision support system for Big Data management.


Keywords


analysis, big data, visualization data, model, data mining, text mining, MapReduce, ontology

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References


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