Semantic Cubing Platform enabling Interoperability Analysis among Cloud-based Linked Data Cubes

In current data marketplace, multidimensional data cubes become isolated bits of information in lack of a comprehensive semantic relationship among their datasets. To facilitate the exploration and discovery possible semantic heterogeneity among linked data cubes, Semantic Cubing Platform has been studied. First, linked data marts and their data cubes have been specified by using the Federated Data warehousing Application (FDWA) framework and the Collective Cubing platform, which have been introduced in our previous literatures. Hereafter, Metacube Services have been proposed as a middle-layer to enable interoperability analysis among linked data cubes.