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Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

Enhancing Data Management in E-Government Using Data Categorization and Visualization Techniques

Enhancing Data Management in E-Government Using Data Categorization and Visualization Techniques
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Author(s): Miloš Milutinović (Belgrade University, Serbia), Marijana Despotović-Zrakić (Belgrade University, Serbia), Konstantin Simić (Belgrade University, Serbia) and Mihajlo Anđelić (Belgrade University, Serbia)
Copyright: 2014
Pages: 28
Source title: Emerging Mobile and Web 2.0 Technologies for Connected E-Government
Source Author(s)/Editor(s): Zaigham Mahmood (University of Derby, UK & North West University Potchefstroom, South Africa)
DOI: 10.4018/978-1-4666-6082-3.ch002

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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.

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