Representation and implementation of knowledge about cube-concepts for analytical manipulation support

The necessity of the analytical processing of large data volume for organizational management requires the development of new approaches to OLAP technology. The quality of the data analytical processing is determined by accessibility of the primary data and by transparency of the domain analytical model. The issue of developing methods and algorithms for comprehensive (integral) analytical model constructing based on data source structure and expert knowledge. In this paper an original production rule model of knowledge about cube-concepts is proposed. An algorithm of optimal cube-concept determination for analytical manipulation support is suggested. An example of forward chain execution for science activity OLAP-model is described.