In this paper, we present the methodology and architecture of the natural language processing integration into all stages
of the information systems development. We show that if the IS textual documentation is preprocessed and integrated into the
business knowledge base development then the whole information systems modeling process can be speeded and improved. Self-organizing
map received from information systems documentation and the formal concept analysis are suggested to test the IS documentation
comprehensibility and reusability. IBM’s Information Framework (IFW) Financial Services Data Model (FSDM) has been used for
the present research. By using FSDM we demonstrate that the IS model can be partially recreated from IS textual documents
by combining techniques based on self-organizing map and formal concept analysis. Finally the numerical experiment is provided
to show that IS documents supplemented with the suggested techniques can be reused in natural language interfaces and save
the resources and time needed to develop such interfaces.
Keywords Information systems engineering - formal concept analysis - IS documents self-organization - natural language processing