Abstract
In this publication authors present the most important aspects of semantic inference dedicated for description and analysis of financial data in cognitive management information systems. Analysis of financial data may be implemented not only to improve the results of the analysis process, i.e. insight analysis, the effectiveness of the proposed solutions, increase the use of analysis, but also to rationalization of data management processes of financial data in enterprises or organizations. The financial information management systems which semantically analyse the economic conditions, may execute their tasks using semantic information available to them. The foundation for the operation of financial and economic cognitive systems, consists in both the semantic analysis of the situation of the enterprise. This situation are described by various economic ratios and the assessment of the future situation of this enterprise.
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Acknowledgments
This work has been supported by the National Science Centre, Republic of Poland, under project number DEC-2012/05/B/HS4/03625.
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Ogiela, L., Ogiela, M.R. (2015). Management Information Systems. In: Park, J., Pan, Y., Chao, HC., Yi, G. (eds) Ubiquitous Computing Application and Wireless Sensor. Lecture Notes in Electrical Engineering, vol 331. Springer, Dordrecht. https://doi.org/10.1007/978-94-017-9618-7_44
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DOI: https://doi.org/10.1007/978-94-017-9618-7_44
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