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Cognitive systems for intelligent business information management in cognitive economy

Author

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  • Ogiela, Lidia
  • Ogiela, Marek R.

Abstract

This paper will present new theoretical and applied solutions for intelligent data analysis and information management in the fields of cognitive economics. Intelligent data analysis and information management are performed by information systems called cognitive systems, dedicated for semantic interpretation of acquired business information. To interpret the meaning of the analysed data, complex linguistic algorithms must be used, based on which it is possible to find the core information elements for business processes forecasting and economical knowledge management. The presentation of selected methods of semantic data analysis in cognitive economy, which allow to perform both local and global information management forms the main subject of this paper. Here, semantic analysis methods are dedicated to cognitive economics problems, namely the interpretation, analysis and assessment of the meaning of selected sets of economic/financial ratios. The meaning of the interpreted data sets is assessed by analysing the layers of meaning contained in data analysed sets. Obtained semantic information may be used in future business processes evaluation and forecasting.

Suggested Citation

  • Ogiela, Lidia & Ogiela, Marek R., 2014. "Cognitive systems for intelligent business information management in cognitive economy," International Journal of Information Management, Elsevier, vol. 34(6), pages 751-760.
    • Handle: RePEc:eee:ininma:v:34:y:2014:i:6:p:751-760
    DOI: 10.1016/j.ijinfomgt.2014.08.001
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    References listed on IDEAS

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    1. Ogiela, Marek R. & Ogiela, Urszula, 2012. "DNA-like linguistic secret sharing for strategic information systems," International Journal of Information Management, Elsevier, vol. 32(2), pages 175-181.
    2. Ogiela, Lidia, 2013. "Data management in cognitive financial systems," International Journal of Information Management, Elsevier, vol. 33(2), pages 263-270.
    3. Buchanan, Steven & McMenemy, David, 2012. "Digital service analysis and design: The role of process modelling," International Journal of Information Management, Elsevier, vol. 32(3), pages 251-256.
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    Cited by:

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    2. Christian Engel & Philipp Ebel & Jan Marco Leimeister, 2022. "Cognitive automation," Electronic Markets, Springer;IIM University of St. Gallen, vol. 32(1), pages 339-350, March.
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