A Method to Solve Uncertainty Problem for Big Data Sources

Abstract

Big Data analysis and processing is a popular tool for Artificial Intelligence and Data Science based solutions in various directions of human activity. It is of a great importance to ensure a reliability and a value of data source. One of the key problems is the inevitable existence of uncertainty in stored or missing values. Any uncertainty in a source causes its disadvantageous, complexity or inapplicability to use. That is why it is crucial to eliminate uncertainty or to lower uncertainty influence. Here in this research, we offer ontology-based method to solve an uncertainty problem for big data sources.