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Combining Service Models, Semantic and Web 2.0 Technologies to Create a Rich Citizen Experience

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Visioning and Engineering the Knowledge Society. A Web Science Perspective (WSKS 2009)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 5736))

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Abstract

e-Government portals suffer from various shortcomings, such as the lack of formal service models for documenting services, the complexity of the user interfaces, the badly structured content etc. In this work we start from a mature model for modelling public services and employ semantic and Web 2.0 technologies in order to develop a citizen-centric e-Government portal. Content managers are provided with a mechanism for adding structured service descriptions. A rich user experience has been created for all the users of the portal. The user interface can be personalized, visual browsing mechanisms and efficient search mechanisms have been implemented on top of the underlying service repository. Structured service descriptions, which are semantically annotated using the RDFa mechanism, are made available to the users. In addition, the users can annotate the service descriptions using tags similar to what is currently done for popular Web 2.0 portals and the portal also logs the users’ behaviour when using the portal. Hence, user-defined service metadata are created, which then support service and tag recommendation mechanisms.

This work is supported in part by the SemanticGov (www.semantic-gov.org) and the Ecospace (www.ip-ecospace.org) FP6 projects.

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References

  1. Drigas, A.S., Koukianakis, L.G., Papagerasimou, Y.V.: An E-Government Web Portal. WSEAS Transactions on Environment and Development 1(1), 150–154 (2005)

    Google Scholar 

  2. DiMaio, A.: Web 2.0 in Government: a blessing and a curse, Gartner (2007)

    Google Scholar 

  3. Tambouris, E.: Introducing the need for a Domain Model in Public Service Provision (PSP) eGovernment Systems. In: 3rd International Conference on Data Information Management, London, UK, November 13-16 (2008)

    Google Scholar 

  4. Reddick, C.G.: Citizen interaction with e-government: From the streets to servers? Government Information Quarterly 22, 38–57 (2005)

    Article  Google Scholar 

  5. Fernandez, A., Hayes, C., Loutas, N., Peristeras, V., Polleres, A., Tarabanis, K.: Closing the Service Discovery Gap by Collaborative Tagging and Clustering Techniques. In: ISCW 2007, Workshop on Service Discovery and Resource Retrieval in the Semantic Web (2008)

    Google Scholar 

  6. Peristeras, V., Tarabanis, K.: The Governance Architecture Framework and Models. In: Saha, P. (ed.) Advances in Government Enterprise Architecture, Hershey, PA, IGI Global Information Science Reference (2008)

    Google Scholar 

  7. Peristeras, V., Tarabanis, K.: The Governance Enterprise Architecture (GEA) Object Model. In: Wimmer, M.A. (ed.) KMGov 2004. LNCS (LNAI), vol. 3035, pp. 101–110. Springer, Heidelberg (2004)

    Chapter  Google Scholar 

  8. Basca, C., Corlosquet, S., Cyganiak, R., Fernandez, S., Schndl, T.: Neologism: Easy Vocabulary Publishing. In: Workshop on Scripting for the Semantic Web at ESWC, Tenerife, Spain (2008)

    Google Scholar 

  9. Sheth, A.P., Gomadam, K., Lathem, J.: SA-REST: Semantically Interoperable and Easier-to-Use Services and Mashups. IEEE Internet Computing 11(6), 91–94 (2007)

    Article  Google Scholar 

  10. Loutas, N., Peristeras, V., Tarabanis, K.: Extending Service Models to Include Social Metadata. In: WebSci 2009: Society On-Line, Athens, Greece (2009)

    Google Scholar 

  11. Derntl, M., Hampel, T., Motschnig-Pitrik, R., Pitner, T.: Inclusive Social Tagging: A Paradigm for Tagging-Services in the Knowledge Society. In: Lytras, M.D., Carroll, J.M., Damiani, E., Tennyson, R.D. (eds.) WSKS 2008. LNCS (LNAI), vol. 5288, pp. 1–10. Springer, Heidelberg (2008)

    Chapter  Google Scholar 

  12. Xu, Z., Fu, Y., Mao, J., Su, D.: Towards the Semantic Web: Collaborative Tag Suggestions. In: Collaborative Web Tagging Workshop at 15th International World Wide Web Conference, Edinburgh, Scotland (2006)

    Google Scholar 

  13. Basile, P., Gendarmi, D., Lanubile, F., Semeraro, G.: Recommending Smart Tags in a Social Bookmarking System. Bridging the Gap between Semantic Web and Web 2.0. In: SemNet 2007, pp. 22–29 (2007)

    Google Scholar 

  14. Grineva, M., Grinev, M., Turdakov, D., Velikhov, P.: Harnessing Wikipedia for Smart Tags Clustering. In: Knowledge Acquisition from the Social Web (KASW 2008), Graz, Austria (2008)

    Google Scholar 

  15. Begelman, G., Keller, P., Smadja, F.: Automated Tag Clustering: Improving search and exploration in the tag space. In: Collaborative Web Tagging Workshop at WWW 2006, Edinburgh, Scotland (2006)

    Google Scholar 

  16. Girvan, M., Newman, M.E.: Finding and evaluating community structure in networks. Physical Review E 69(2), 026113 (2004)

    Article  Google Scholar 

  17. Hotho, A., Jaschke, R., Schmitz, C., Stumme, G.: Information Retrieval in Folksonomies: Search and Ranking. In: Sure, Y., Domingue, J. (eds.) ESWC 2006. LNCS, vol. 4011, pp. 411–426. Springer, Heidelberg (2006)

    Chapter  Google Scholar 

  18. Hotho, A., Jaschke, R., Schmitz, C., Stumme, G.: FolkRank: A Ranking Algorithm for Folksonomies. In: Workshop Information Retrieval (FGIR 2006), Germany (2006)

    Google Scholar 

  19. Mika, P.: Ontologies Are Us: A Unified Model of Social Networks. Web Conference and Semantics, Web Semantics: Science, Services and Agents on the World Wide Web 5(1), 5–15 (2005)

    Article  Google Scholar 

  20. Specia, L., Motta, E.: Integrating Folksonomies with the Semantic Web. In: Franconi, E., Kifer, M., May, W. (eds.) ESWC 2007. LNCS, vol. 4519, pp. 624–639. Springer, Heidelberg (2007)

    Chapter  Google Scholar 

  21. Cattuto, C., Benz, D., Hotho, A., Stumme, G.: Semantic Analysis of Tag Similarity Measures in Collaborative Tagging Systems. In: 3rd Workshop on Ontology Learning and Population (OLP3), Patra, Greece (2008)

    Google Scholar 

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Papathanasiou, M.K., Loutas, N., Peristeras, V., Tarampanis, K. (2009). Combining Service Models, Semantic and Web 2.0 Technologies to Create a Rich Citizen Experience. In: Lytras, M.D., et al. Visioning and Engineering the Knowledge Society. A Web Science Perspective. WSKS 2009. Lecture Notes in Computer Science(), vol 5736. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04754-1_31

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  • DOI: https://doi.org/10.1007/978-3-642-04754-1_31

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-04753-4

  • Online ISBN: 978-3-642-04754-1

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