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New paradigms of cognitive management extending computational intelligence approaches
- Source :
- Annals of Operations Research. 265:293-304
- Publication Year :
- 2016
- Publisher :
- Springer Science and Business Media LLC, 2016.
-
Abstract
- This publication presents new paradigms of cognitive management in information systems. The cognitive management aspects dedicated to support management processes are based on interpretations of the meaning of the analyzed data/situation, etc. The management processes are shown as it is applied to different subjects because of the diverse possibilities of executing management processes. This publication shows the versatility of the presented approaches. Cognitive management processes were defined on the basis of methods for the cognitive interpretation of information applied to semantic information contained in data sets. Semantic data interpretation used to determine the meaning of the analyzed information, and semantic layers contained in data sets. Also is dedicated to significance for the whole-process of cognitive management. Cognitive management processes were discussed as they are applied to various subjects, i.e. data, information, structures, processes or situations. Cognitive management processes were defined for the purpose of supporting existing data management solutions.
- Subjects :
- Cognitive models of information retrieval
business.industry
Management science
Computer science
Data management
Rational analysis
Semantic interpretation
General Decision Sciences
Computational intelligence
Cognition
010103 numerical & computational mathematics
02 engineering and technology
Management Science and Operations Research
Semantic data model
01 natural sciences
Data science
0202 electrical engineering, electronic engineering, information engineering
Information system
Personal information management
020201 artificial intelligence & image processing
0101 mathematics
business
Subjects
Details
- ISSN :
- 15729338 and 02545330
- Volume :
- 265
- Database :
- OpenAIRE
- Journal :
- Annals of Operations Research
- Accession number :
- edsair.doi...........62b3b1e7eb3bf990d968e558ec231ff8
- Full Text :
- https://doi.org/10.1007/s10479-016-2395-x