Anomalous Witnesses and Registrations Detection in the Italian Justice System Based on Big Data and Machine Learning Techniques-Reference-Cited by-同舟云学术

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Anomalous Witnesses and Registrations Detection in the Italian Justice System Based on Big Data and Machine Learning Techniques

Published:2022 Issue: Volume: Page:183-192
ISSN:2367-3370
Container-title:Advanced Information Networking and Applications
language:
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Author:

Di Martino Beniamino,D’Angelo Salvatore,Esposito Antonio,Lupi Pietro

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-99619-2_18

Reference12 articles.

1. Ceci, M., Gangemi, A.: An OWL ontology library representing judicial interpretations. Semant. Web 7(3), 229–253 (2016)

2. Di Martino, B., et al.: A big data pipeline and machine learning for a uniform semantic representation of structured data and documents from information systems of Italian ministry of justice. Int. J. Grid High Perform. Comput. (IJGHPC) (2021, in press)

3. Di Martino, B., Marino, A., Rak, M., Pariso, P.: Optimization and validation of eGovernment business processes with support of semantic techniques. In: Barolli, L., Hussain, F., Ikeda, M. (eds.) CISIS 2019. AISC, vol. 993, pp. 827–836. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-22354-0_76

4. Di Martino, B., Marulli, F., Lupi, P., Cataldi, A.: A machine learning based methodology for automatic annotation and anonymisation of privacy-related items in textual documents for justice domain. In: Barolli, L., Poniszewska-Maranda, A., Enokido, T. (eds.) CISIS 2020. AISC, vol. 1194, pp. 530–539. Springer, Cham (2021). https://doi.org/10.1007/978-3-030-50454-0_55

5. Fang, H.: Managing data lakes in big data era: what’s a data lake and why has it became popular in data management ecosystem. In: 2015 IEEE International Conference on Cyber Technology in Automation, Control, and Intelligent Systems (CYBER), pp. 820–824. IEEE (2015)

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