Cognitive systems for intelligent business information management in cognitive economy

被引:46
作者
Ogiela, Lidia [1 ]
Ogiela, Marek R. [1 ]
机构
[1] AGH Univ Sci & Technol, Cryptog & Cognit Informat Res Grp, Al Mickiewicza 30, PL-30059 Krakow, Poland
关键词
Intelligent data analysis; Cognitive economy; Business information management;
D O I
10.1016/j.ijinfomgt.2014.08.001
中图分类号
G25 [图书馆学、图书馆事业]; G35 [情报学、情报工作];
学科分类号
1205 ; 120501 ;
摘要
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. (C) 2014 Elsevier Ltd. All rights reserved.
引用
收藏
页码:751 / 760
页数:10
相关论文
共 31 条
[1]  
[Anonymous], 1988, Language and problems of knowledge
[2]  
Bernstein L., 2000, Analysis of Financial Statement, VFifth
[3]   New approach to gallbladder ultrasonic images analysis and lesions recognition [J].
Bodzioch, Slawomir ;
Ogiela, Marek R. .
COMPUTERIZED MEDICAL IMAGING AND GRAPHICS, 2009, 33 (02) :154-170
[4]  
Boster J.S., 2005, Handbook of categorization in cognitive science, P313
[5]   Digital service analysis and design: The role of process modelling [J].
Buchanan, Steven ;
McMenemy, David .
INTERNATIONAL JOURNAL OF INFORMATION MANAGEMENT, 2012, 32 (03) :251-256
[6]  
Duda R.O., 2000, Pattern Classification, Vsecond
[7]  
Grossberg S, 2012, NEURAL NETWORKS, V27, P1, DOI [10.1016/j.neunet.2011.10.011, 10.1016/j.neunet.2012.09.017]
[8]   A system for detecting and describing pathological changes using dynamic perfusion computer tomography brain maps [J].
Hachaj, Tomasz ;
Ogiela, Marek R. .
COMPUTERS IN BIOLOGY AND MEDICINE, 2011, 41 (06) :402-410
[9]  
Laudon K.C. e., 2013, Management Information Systems: Managing the Digital Firm, V13th
[10]  
Ogiela L, 2012, COGN SYST MONOGR, V17, pCOVER1, DOI 10.1007/978-3-642-25246-4