Finding, Assessing, and Integrating Statistical Sources for Data Mining
As the knowledge discovery process has been widely applied in a variety of domains, there is a growing opportunity to use the Linked Open Data (LOD) cloud as a primary data source for knowledge discovery. The tasks of finding the relevant data from various sources and then using that data for the desired analysis are the key challenges. There is a striking increase on the availability of statistical data and indicators (e.g. social, economic) in the LOD, and the cube ontology has become the de facto standard for their description according to a multi-dimensional model.