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- W2476804967 abstract "Modern information and communication systems can process massive amounts of data automatically and efficiently, but human beings have a limited cognitive capacity. Organizations that handle data on a larger scale need to adjust and streamline their operations in order to cope with this complexity. The e-Government information systems present problems that are on an entirely different scale, with communication streams between citizens and government easily dwarfing those in the private sectors. The information flows in e-Government are further constrained by established processes and practices that are hard to change and strict privacy concerns. A solution to problems of complexity and inefficiency of data manipulation in e-Government is needed. This chapter analyzes models and techniques of data categorization and visualization that can be employed in the context of e-Government. Methods of categorization, metadata, and ontologies in particular are explored for use in such an environment. A simple government ontology framework is developed as a starting point for introduction of ontologies into the e-Government context and the information is structured in such a way to allow easy correlation and navigation between concepts. A simple but intuitive visual representation of information and their relations is developed to facilitate better understanding of complex topics." @default.
- W2476804967 created "2016-08-23" @default.
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- W2476804967 date "2014-01-01" @default.
- W2476804967 modified "2023-09-27" @default.
- W2476804967 title "Enhancing Data Management in E-Government Using Data Categorization and Visualization Techniques" @default.
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- W2476804967 doi "https://doi.org/10.4018/978-1-4666-6082-3.ch002" @default.
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