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Data Management in the European Project SCAN

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Web, Artificial Intelligence and Network Applications (WAINA 2020)

Abstract

The European SCAN Project is focused on the diffusion of best practices regarding the European Regulation of the European Small Claims Procedure. To properly disseminate information regarding these procedures, a web-based system is implemented. This work gives a presentation and description of the system, complemented with details about system implementation and deploy.

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Notes

  1. 1.

    § 2, 3 are to be attributed to all authors; § 1 and 4 in particular are to be attributed to Marco Giacalone.

References

  1. Williams, B., Richard, O., Tadlock, J.: Professional WordPress Plugin Development. Wrox Press Ltd. (2011)

    Google Scholar 

  2. ESC, European Regulation of the European Small Claims Procedure, 11 July 2007. https://eur-lex.europa.eu/legal-content/EN/ALL/?uri=CELEX%3A32007R0861

  3. Bruce, K.B., Cardelli, L., Pierce, B.C.: Comparing object encodings. In: Abadi, M., Ito, T. (eds.): Theoretical Aspects of Computer Software. Lecture Notes in Computer Science, vol. 1281, pp. 415–438. Springer, Heidelberg (1997)

    Google Scholar 

  4. van Leeuwen, J. (ed.) Computer Science Today. Recent Trends and Developments. Lecture Notes in Computer Science, vol. 1000. Springer, Heidelberg (1995)

    Google Scholar 

  5. Ceccarelli, M., Cerulo, L., Santone, A.: De novo reconstruction of gene regulatory networks from time series data, an approach based on formal methods. Methods 69(3), 298–305 (2014)

    Article  Google Scholar 

  6. Martinelli, F., Mercaldo, F., Orlando, A., Nardone, V., Santone, A., Sangaiah, A.K.: Human behavior characterization for driving style recognition in vehicle system. Comput. Electr. Eng. (2018)

    Google Scholar 

  7. Santone, A., Vaglini, G.: Abstract reduction in directed model checking CCS processes. Acta Informatica 49(5), 313–341 (2012)

    Article  MathSciNet  MATH  Google Scholar 

  8. Balzano, W., Del Sorbo, M.R., Murano, A., Stranieri, S.: A logic- based clustering approach for cooperative traffic control systems. In: International Conference on P2P, Parallel, Grid, Cloud and Internet Computing, pp. 737–746. Springer, Cham (2016)

    Google Scholar 

  9. Balzano, W., Stranieri, S.: LoDGP: a framework for support traffic information systems based on logic paradigm. In: International Conference on P2P, Parallel, Grid, Cloud and Internet Computing. Springer, Cham (2017)

    Google Scholar 

  10. Balzano, W., Del Sorbo, M.R., Stranieri, S.: A logic framework for C2C network management. In: 2016 30th International Conference on Advanced Information Networking and Applications Workshops (WAINA). IEEE (2016)

    Google Scholar 

  11. Amato, F., Mazzeo, A., Moscato, V., Picariello, A.: Semantic management of multimedia documents for e-government activity. In: Proceedings of the International Conference on Complex, Intelligent and Software Intensive Systems, CISIS 2009, art. no. 5066947, pp. 1193–1198 (2009). https://doi.org/10.1109/cisis.2009.195. ISBN: 9780769535753

  12. Amato, F., Moscato, V., Picariello, A., Piccialli, F.: SOS: a multimedia recommender system for online social networks. Future Gen. Comput. Syst. 93, 914–923 (2019). https://doi.org/10.1016/j.future.2017.04.028.ElsevierB.V.ISSN:0167739X

    Article  Google Scholar 

  13. Amato, F., Mazzeo, A., Penta, A., Picariello, A.: Knowledge representation and management for e-government documents. In: IFIP International Federation for Information Processing, vol. 280, pp. 31–40 (2008). https://doi.org/10.1007/978-0-387-09712-1_4. ISSN: 15715736. ISBN: 9780387097114

  14. Piccialli, F., Casolla, G., Cuomo, S., Giampaolo, F., di Cola, V.S.: Decision making in IoT environment through unsupervised learning. IEEE Intell. Syst. (2019). https://doi.org/10.1109/MIS.2019.2944783

  15. Casolla, G., Cuomo, S., Di Cola, V.S., Piccialli, F.: Exploring unsupervised learning techniques for the Internet of Things. IEEE Trans. Ind. Inf. (2019). https://doi.org/10.1109/TII.2019.2941142

  16. Piccialli, F., Cuomo, S., di Cola, V.S., Casolla, G.: A machine learning approach for IoT cultural data. J. Ambient Intell. Humaniz. Comput. 1–12 (2019). https://doi.org/10.1007/s12652-019-01452-6

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Acknowledgments

This paper has been produced with the financial support of the Justice Programme of the European Union SCAN project (Small Claims Analysis Net 2017–2019), Call (JUST-AG-2017/JUST-JCOO-AG-2017) under Grant Agreement No. 800830.

The contents of this report are the sole responsibility of the authors and can in no way be taken to reflect the views of the European Commission.

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Correspondence to Alessandra Amato .

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Amato, A., Giacalone, M. (2020). Data Management in the European Project SCAN. In: Barolli, L., Amato, F., Moscato, F., Enokido, T., Takizawa, M. (eds) Web, Artificial Intelligence and Network Applications. WAINA 2020. Advances in Intelligent Systems and Computing, vol 1150. Springer, Cham. https://doi.org/10.1007/978-3-030-44038-1_89

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