Método de fusión de datos de fuentes heterogéneas para mantener la consistencia de datos

Context–aware systems use data obtained from various sources to adapt and provide services of interest to the user according to their needs, location or interaction with the environment. However, the use of heterogeneous sources creates a large volume of data that may differ in format, transmission speed and may be affected by environmental noise. This generates some inconsistency in the data, which must be detected in time to avoid erroneous analysis. This is done using data fusion, which is the action of integrating diverse sources to be analyzed according to a determined context. This paper presents the conceptual design of a data fusion method of heterogeneous sources, obtained from contextual information, with the aim of maintaining the consistency of the data during the fusion process (extraction, pre–processing, fusion, and loading data).