Cognitive systems for intelligent business information management in cognitive economy

• Published in: International journal of information management Vol. 34; no. 6; pp. 751 - 760
• Main Authors: Ogiela, Lidia, Ogiela, Marek R.
• Format: Journal Article
• Language: English
• Published: Kidlington Elsevier Ltd 01.12.2014; Elsevier; Elsevier Science Ltd
• Subjects: Alliances; Business; Business information; Business information management; Cognitive aspects; Cognitive economy; Data analysis; Data processing; Economics; Exact sciences and technology; Forecasting; Information and communication sciences; Information management; Information science. Documentation; Information service management; Information system management; Information systems; Intelligent data analysis; Knowledge management; Library and information science. General aspects; Linguistics; Sciences and techniques of general use; Semantics; Studies; Use and user studies. Information needs; Business information management; Intelligent data analysis; Cognitive economy; Economy; Information management; Economic information; Cognitive system; Intelligent system
• ISSN: 0268-4012; 1873-4707
• DOI: 10.1016/j.ijinfomgt.2014.08.001

•In the paper was described cognitive information systems for business information management.•This system is designed to semantically analyse some economic data with selected financial ratios.•Semantic reasoning algorithms based on cognitive resonance was applied for such analysis.•An idea of cognitive economy was presented. 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.