To deliver services to users, central and local Public Administrations (PA) make extensive use of data. Various qualitative estimates suggest that databases contain 10-20 This work has two objectives: to summarize the experiences carried out over the past four years by the National Interuniversity Consortium for Informatics (CINI) in the Datalake project funded by the CRUI in collaboration with the Directorate General of Automated Information Systems (DGSIA) of the Ministry of Justice, in synergy with other related projects of the Ministry; and to demonstrate how the experiences, Proof of Concepts, and functional specifications produced can serve as a repository of functionalities for a “semantic document management system for PA,” which aims to evolve the information systems of PAs into platforms where unstructured data can be exploited and integrated with structured data to enhance and add value to the digital services provided by the PA, and where governance processes can be conducted using all knowledge expressed in documents and other forms of unstructured data. The judicial organization, proceedings, processes, user needs, functional structure of the Datalake, and implementation architecture are described, aiming towards a design and production pathway directed at all PAs.

Towards a Semantic Document Management System for Public Administration / C. Batini, G. Santucci, M. Palmonari, V. Bellandi, E. Fersini, B. Pernici, F. Zanzotto, G. Vecchi, S. Ronchi (CEUR WORKSHOP PROCEEDINGS). - In: Ital-IA 2024 : Ital-IA 2024 Thematic Workshops / [a cura di] S. Di Martino, C. Sansone, E. Masciari, S. Rossi, M. Gravina. - [s.l] : CEUR-WS, 2024. - pp. 360-365 (( convegno Ital-IA Intelligenza Artificiale - Thematic Workshops co-located with the 4th CINI National Lab AIIS Conference on Artificial Intelligence (Ital-IA 2024) tenutosi a Napoli nel 2024.

Towards a Semantic Document Management System for Public Administration

V. Bellandi;
2024

Abstract

To deliver services to users, central and local Public Administrations (PA) make extensive use of data. Various qualitative estimates suggest that databases contain 10-20 This work has two objectives: to summarize the experiences carried out over the past four years by the National Interuniversity Consortium for Informatics (CINI) in the Datalake project funded by the CRUI in collaboration with the Directorate General of Automated Information Systems (DGSIA) of the Ministry of Justice, in synergy with other related projects of the Ministry; and to demonstrate how the experiences, Proof of Concepts, and functional specifications produced can serve as a repository of functionalities for a “semantic document management system for PA,” which aims to evolve the information systems of PAs into platforms where unstructured data can be exploited and integrated with structured data to enhance and add value to the digital services provided by the PA, and where governance processes can be conducted using all knowledge expressed in documents and other forms of unstructured data. The judicial organization, proceedings, processes, user needs, functional structure of the Datalake, and implementation architecture are described, aiming towards a design and production pathway directed at all PAs.
Civil Trials; Criminal Trials; Data Lake; Legal AI; Semantic Document Management
Settore INFO-01/A - Informatica
2024
https://ceur-ws.org/Vol-3762/
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2434/1127638
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