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Improving Web Content Delivery in eGoverment Applications

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Tools and Applications with Artificial Intelligence

Part of the book series: Studies in Computational Intelligence ((SCI,volume 166))

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Abstract

The daily production of statistical information increases exponentially worldwide, making the processing of this information a very difficult and time – consuming task. Our work focuses in creating a web platform for accessing, processing and delivering statistical data in an effective way. The platform consists of a set o integrated tools specified in the organization, validation, maintenance and safe delivery over the web of statistical information recourses. The idea is to enhance the current system, providing direct dissemination functionalities to authorized international users (mainly Eurostat). In this case, the datasets will be tested and validated at national level and then they will be stored in the Transmission’s System Database, from which they can be downloaded by Eurostat, whenever necessary (in this way, the transmission via STADIUM will be skipped). Using the XTNET Rules Support and Transmission System designed for the National Statistical Service of Greece (NSSG), the whole statistics production and dissemination process is improved because the validation checks take place at an earlier stage as it is performed by the NSI itself whereas the transmission is performed by Eurostat itself. Furthermore, an overall improvement of data quality is expected.

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References

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  3. Markellos, K., Katsis, M., Panagopoulou, G., Sirmakessis, S., Tsakalidis, A.: «Using Standardized Web Services for Integrating Processes of Autonomous Actors Communicating within a Public Information System – A Case Study from Greece». International Journal of Public Information Systems (IJPIS), Prof. Bo Sundgren (Ed.), Mid Sweden University (2007)

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© 2009 Springer-Verlag Berlin Heidelberg

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Markellos, K., Katsis, M., Sirmakessis, S. (2009). Improving Web Content Delivery in eGoverment Applications. In: Koutsojannis, C., Sirmakessis, S. (eds) Tools and Applications with Artificial Intelligence. Studies in Computational Intelligence, vol 166. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-88069-1_14

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  • DOI: https://doi.org/10.1007/978-3-540-88069-1_14

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-88068-4

  • Online ISBN: 978-3-540-88069-1

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