A Semantically Adaptive Interface for Measuring Portal Quality in E-Government

A Semantically Adaptive Interface for Measuring Portal Quality in E-Government

Babis Magoutas (National Technical University of Athens, Greece)
DOI: 10.4018/978-1-60566-032-5.ch007
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This chapter introduces a semantically adaptive interface as a means of measuring the quality of egovernment portals, based on user feedback. The interface is semantic as it uses ontologies in order to formalize well defined semantics about the adaptation criteria used. Furthermore it is adaptive as three axes of adaptation are applied: based on real-time feedback from users, based on problems encountered by the user and based on metadata of the pages visited by the user. The authors hope that applying the proposed adaptive interface as a means of measuring e-government portals’ quality, will not only allow more focused and targeted assessment of quality, but will also increase users’ response rates.
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A research area which is very close to our work refers to adaptive hypermedia. An Adaptive Hypermedia System (AHS) tries to adapt information for a user based on a model of that particular user. Examples of adaptive hypermedia systems include AHA! (Bra et. al., 2003), ELM-ART (Brusilovsky et. al., 1996), and Adaptive Engine 3 - AE3 (Keeffe et. al., 2005). These systems use adaptive techniques in order to provide the adapted hypermedia for a user. There are four such techniques, which are adaptive navigation, adaptive presentation, structural adaptation, and historical adaptation (Tallon, 2005). Our approach uses the idea of adaptive presentation for quality measuring of e-government portals and services. Adaptive presentation is intuitively related to how the hypermedia is presented to the user. The hypermedia or content is adapted towards the user model provided. In our approach the adaptation is based on a user model that is constructed during runtime, using data mining on web server log and is modelled using semantic technologies (Apostolou et. al., 2006).

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