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Data Mining Applications in the Service of e-Government
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Author(s): George Stylios (Patras University, Greece), Dimitris Christodoulakis (Patras University, Greece), Jeries Besharat (Patras University, Greece), Maria-Alexandra Vonitsanou (Patras University, Greece), Ioannis Kotrotsos (Patras University, Greece), Athanasia Koumpouri (Patras University, Greece)and Sofia Stamou (Patras University, Greece)
Copyright: 2012
Pages: 15
Source title:
Digital Democracy: Concepts, Methodologies, Tools, and Applications
Source Author(s)/Editor(s): Information Resources Management Association (USA)
DOI: 10.4018/978-1-4666-1740-7.ch027
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Abstract
In this chapter we propose the exploration of text and data mining techniques for empowering e-government applications and services for the citizen’s benefit. In particular, we start by providing a field overview with respect to the current trends in e-government services and we demonstrate via proofs of concept the limited adaptation existing e-government applications entail. Stimulated by the need to transform e-government services to e-inclusion applications, we suggest the utilization of data mining techniques for processing the governmental data so as to extract and associate information fragments with real citizen needs and thus enable the encapsulation of the latter in future governmental decisions. To demonstrate the usability and added value of our proposed approach we have designed an interactive e-government infrastructure, the architecture of which we will present and discuss in our chapter. Moreover, we will elaborate on the system details, its adaptation capacity and we will discuss its usage benefits for both citizens and public sector bodies.
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