The application of classification schemes while describing metadata of the multidimensional information system based on the cluster method

Metadata of the multidimensional information system can be described through setting the options for the cells of the multidimensional cube. The cluster method can be used for the description of the sparse data cube structure. The core of this method is the formation of groups of members which are semantically connected with groups of members of other dimensions. Connected groups related to different dimensions describe the cluster of cells. Clusters can be merged into sets of cells. The term where such sets are combined by operations of set theory describes the structure of the multidimensional data cube. Classification schemes can be used while forming a cluster. Every classification scheme is a graph describing the hierarchy of members which are connected with a separate structural component of the observed phenomenon. The coupling between several classification schemes related to different structural components helps to describe the metadata of the multidimensional information system. © 2017, Springer International Publishing AG.