Modeling information space for decision-making in the interaction of higher education system with regional labor market

The paper describes novel approach to constructing decision-making support system based on multi-dimensional model of information space for the process of interaction between higher education system and regional labor market. The particular features of the proposed approach are: accumulation of data with the use of web-scrapping intelligent information system, building multi-dimensional OLAP-warehouse with data consolidation and aggregation, analysis of data based on OLAP technology and deep Data Mining. We provide an overview of up-to-date online data auto-collection technologies, and describe the architecture of the intelligent system accumulating labor market data since 2011. Finally, an example of analysis is presented that allows hypothesizing that labor market is oversaturated by NSTU graduates of certain majors.