Integration of governmental services in semantically described processes in the Access-eGov system

Skokan, M.; Sabol, Tomáš; Mach, Marián; Furdik, Karol

doi:10.1109/imcsit.2008.4747275

Cited by 2 publications

(2 citation statements)

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“…In most solutions, ontology-based semantic reasoning is used for the data organization and management of information. Accurate data description, qualitative classification, knowledge management, and defined relationships between data entities create a system where information is ontologically grouped, making it much easier to process, sort, and present it [3,6,12,16,21,26]. Personal recommendations are divided into 'auto' and 'on-demand'.…”

Section: Conceptual Foundationsmentioning

confidence: 99%

“…This category includes attempts by several researchers to conceptualize the life event and propose how it can be integrated into government systems. The main focus is on the categorization of life-even services and producing working prototypes of active web portals [16,19,22,23] and the construction of multi-level systems that take the selected categories as a basis [13]. Researchers use different classification criteria but similarly note the diversity of personalization models and the prospects for implementing them in government electronic systems.…”

Section: Literature Analysismentioning

confidence: 99%

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Data-Driven Personalized E-Government Services: Literature Review and Case Study

Maksimova

Solvak

Krimmer

2021

Lecture Notes in Computer Science

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Better targeted and more personalized service offering to citizens has the potential to make state-citizen interactions more seamless, reduce inefficiencies in service provision, and lower barriers to service access for the less informed and disadvantaged social groups. What constitutes personalization and how the service offering can be customized to meet individual user demand is, however, much less clear and underdeveloped partially due to the technical and legal dependencies involved. The paper gives an overview of how personalization and customization of digital service offering have been discussed in the literature and systematizes the main strand emerging from this. It follows up with a case study of the Estonian X-road log data as one potential way to detect latent user demand emerging from an experienced life-event that could form a basis for letting users define their service needs as holistically as possible. The results show the existence of distinct service usage clusters, with specific user profiles behind them, a clear indication of latent demand that leads to a simultaneous consumption of otherwise independent digital services.

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