Semantic Technologies Towards Missing Values Imputation

Missing values are a data quality problem affecting almost every type of real world datasets. Since poor data quality has a direct impact on organisational success, there is a dire need to eradicate missing values as a way to minimise costs and increase efficiency in companies. There are different methods to deal with missing values including the Imputation Methods, which try to compute an accurate estimation of missing values using the rest of the information available. This article devises the potential of Semantic Technologies towards the solution of the limitations of current Imputation Methods by proposing alternative approaches.