{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,30]],"date-time":"2025-12-30T15:43:03Z","timestamp":1767109383955,"version":"3.40.3"},"publisher-location":"Cham","reference-count":23,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031516429"},{"type":"electronic","value":"9783031516436"}],"license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024]]},"DOI":"10.1007\/978-3-031-51643-6_13","type":"book-chapter","created":{"date-parts":[[2024,2,1]],"date-time":"2024-02-01T06:02:41Z","timestamp":1706767361000},"page":"179-192","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["A Service Infrastructure for\u00a0the\u00a0Italian Digital Justice"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4473-6258","authenticated-orcid":false,"given":"Valerio","family":"Bellandi","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3826-2407","authenticated-orcid":false,"given":"Silvana","family":"Castano","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6594-6644","authenticated-orcid":false,"given":"Stefano","family":"Montanelli","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0003-9681-9423","authenticated-orcid":false,"given":"Davide","family":"Riva","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6477-3876","authenticated-orcid":false,"given":"Stefano","family":"Siccardi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2024,2,2]]},"reference":[{"key":"13_CR1","doi-asserted-by":"publisher","unstructured":"Breit, A., Waltersdorfer, L., Ekaputra, F.J., Sabou, M.: An architecture for extracting key elements from legal permits. In: 2020 IEEE International Conference on Big Data (Big Data), pp. 2105\u20132110 (2020). https:\/\/doi.org\/10.1109\/BigData50022.2020.9378375","DOI":"10.1109\/BigData50022.2020.9378375"},{"key":"13_CR2","doi-asserted-by":"publisher","unstructured":"Amato, F., Mazzeo, A., Penta, A., Picariello, A.: Using NLP and ontologies for notary document management systems. In: Database and Expert Systems Application, DEXA 2008, pp. 67\u201371 (2008). https:\/\/doi.org\/10.1109\/DEXA.2008.86","DOI":"10.1109\/DEXA.2008.86"},{"key":"13_CR3","doi-asserted-by":"publisher","unstructured":"Buey, M.G., Garrido, A.L., Bobed, C., Ilarri, S.: The AIS project: boosting information extraction from legal documents by using ontologies. In: Proceedings of the 8th International Conference on Agents and Artificial Intelligence (ICAART 2016), pp. 438\u2013445 (2016). https:\/\/doi.org\/10.5220\/0005757204380445","DOI":"10.5220\/0005757204380445"},{"key":"13_CR4","doi-asserted-by":"publisher","unstructured":"Ruiz, M., Roman, C., Garrido, A.L., Mena, E.: uAIS: an experience of increasing performance of NLP information extraction tasks from legal documents in an electronic document management system. In: Proceedings of the 22nd International Conference on Enterprise Information Systems (ICEIS 2020), pp. 189\u2013196 (2020). https:\/\/doi.org\/10.5220\/0009421201890196","DOI":"10.5220\/0009421201890196"},{"key":"13_CR5","doi-asserted-by":"crossref","unstructured":"Zhong, H., Xiao, C., Tu, C., Zhang, T., Liu, Z., Sun, M.: How Does NLP Benefit Legal System: A Summary of Legal Artificial Intelligence, arXiv, cs.2004.12158 (2020)","DOI":"10.18653\/v1\/2020.acl-main.466"},{"key":"13_CR6","doi-asserted-by":"publisher","first-page":"111","DOI":"10.1007\/s12626-022-00105-z","volume":"16","author":"J Rabelo","year":"2022","unstructured":"Rabelo, J., Goebel, R., Kim, M. Y., Kano, Y., Yoshioka, M., Satoh, K.: Overview and discussion of the competition on legal information extraction\/entailment (COLIEE) 2021. Review Socionetwork Strategies 16, 111\u2013133 (2022). https:\/\/doi.org\/10.1007\/s12626-022-00105-z","journal-title":"Rev. Socionetw. Strat."},{"key":"13_CR7","unstructured":"Yu, D., Huang, L., Ji, H.: Open relation extraction and grounding. In: Proceedings of the Eighth International Joint Conference on Natural Language Processing (Volume 1: Long Papers), pp. 854\u2013864 (2017). https:\/\/aclanthology.org\/I17-1086"},{"key":"13_CR8","unstructured":"Eberts, M., Ulges, A.: Span-based joint entity and relation extraction with transformer pre-training. Front. Artif. Intell. Appl. 325, 2006\u20132013 (2020). ECAI 2020"},{"key":"13_CR9","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"287","DOI":"10.1007\/978-3-030-00178-0_19","volume-title":"AI Approaches to the Complexity of Legal Systems","author":"M Dragoni","year":"2018","unstructured":"Dragoni, Mauro, Villata, Serena, Rizzi, Williams, Governatori, Guido: Combining natural language processing approaches for rule extraction from legal documents. In: Pagallo, Ugo, Palmirani, Monica, Casanovas, Pompeu, Sartor, Giovanni, Villata, Serena (eds.) AICOL 2015-2017. LNCS (LNAI), vol. 10791, pp. 287\u2013300. Springer, Cham (2018). https:\/\/doi.org\/10.1007\/978-3-030-00178-0_19"},{"key":"13_CR10","volume-title":"Elasticsearch: The Definitive Guide: A Distributed Real-Time Search and Analytics Engine","author":"C Gormley","year":"2015","unstructured":"Gormley, C., Tong, Z.: Elasticsearch: The Definitive Guide: A Distributed Real-Time Search and Analytics Engine. O\u2019Reilly Media Inc, Sebastopol (2015)"},{"key":"13_CR11","doi-asserted-by":"publisher","unstructured":"Anisetti, M., Ardagna, C.A., Braghin, C., Damiani, E., Polimeno, A., Balestrucci, A.: Dynamic and scalable enforcement of access control policies for big data. In: Proceedings of the 13th International Conference on Management of Digital EcoSystems (MEDES 2021), pp. 71\u201378. Association for Computing Machinery, New York (2021). https:\/\/doi.org\/10.1145\/3444757.3485107","DOI":"10.1145\/3444757.3485107"},{"key":"13_CR12","unstructured":"Chang, M.-W., Ratinov, L.-A., Roth, D., Srikumar, V.: Importance of semantic representation: dataless classification. In: AAAI, vol. 2, pp. 830\u2013835 (2008)"},{"key":"13_CR13","doi-asserted-by":"crossref","unstructured":"Reimers, N., Gurevych, I.: Sentence-bert: sentence embeddings using siamese bert-networks. arXiv preprint arXiv:1908.10084 (2019)","DOI":"10.18653\/v1\/D19-1410"},{"key":"13_CR14","doi-asserted-by":"crossref","unstructured":"Chalkidis, I., Fergadiotis, M., Malakasiotis, P., Androutsopoulos, I.: Large-scale multi-label text classification on EU legislation. arXiv preprint arXiv:1906.02192 (2019)","DOI":"10.18653\/v1\/P19-1636"},{"key":"13_CR15","doi-asserted-by":"crossref","unstructured":"Chalkidis, I., et al.: LEGAL-BERT: the muppets straight out of law school. arXiv preprint arXiv:2010.02559 (2020)","DOI":"10.18653\/v1\/2020.findings-emnlp.261"},{"key":"13_CR16","doi-asserted-by":"publisher","unstructured":"Batini, C., Bellandi, V., Ceravolo, P., Moiraghi, F., Palmonari, M., Siccardi, S.: Semantic data integration for investigations: lessons learned and open challenges. In: 2021 IEEE International Conference on Smart Data Services (SMDS), Chicago, IL, USA, pp. 173\u2013183 (2021). https:\/\/doi.org\/10.1109\/SMDS53860.2021.00031","DOI":"10.1109\/SMDS53860.2021.00031"},{"key":"13_CR17","unstructured":"Licari, D., Comand\u00e8, G.: ITALIAN-LEGAL-BERT: a pre-trained transformer language model for Italian law. In: CEUR Workshop Proceedings, vol. 3256. CEUR-WS (2022)"},{"key":"13_CR18","doi-asserted-by":"crossref","unstructured":"Bhattacharya, P., et al.: FIRE 2019 AILA track: artificial intelligence for legal assistance. In: Proceedings of the 11th Annual Meeting of the Forum for Information Retrieval Evaluation (2019)","DOI":"10.1145\/3368567.3368587"},{"issue":"2","key":"13_CR19","doi-asserted-by":"publisher","first-page":"516","DOI":"10.1109\/TSC.2018.2816941","volume":"14","author":"CA Ardagna","year":"2021","unstructured":"Ardagna, C.A., Bellandi, V., Bezzi, M., Ceravolo, P., Damiani, E., Hebert, C.: Model-based big data analytics-as-a-service: take big data to the next level. IEEE Transactions Services Computing 14(2), 516\u2013529 (2021). https:\/\/doi.org\/10.1109\/TSC.2018.2816941","journal-title":"IEEE Trans. Serv. Comput."},{"key":"13_CR20","unstructured":"Grootendorst, M.: BERTopic: neural topic modeling with a class-based TF-IDF procedure. arXiv preprint arXiv:2203.05794 (2022)"},{"key":"13_CR21","unstructured":"Bellandi, V., et al.: Knowledge-based legal document retrieval: a case study on Italian civil court decisions. In: Proceedings of the 1st International Knowledge Management for Law Workshop (KM4LAW), Bozen-Bolzano, Italy. CEUR-WS (2022)"},{"key":"13_CR22","doi-asserted-by":"publisher","unstructured":"Bellandi, V., Siccardi, S.: An Entity Registry: A Model for a Repository of Entities Found in a Document Set, pp. 1\u201312 (2023). https:\/\/doi.org\/10.5121\/csit.2023.130301","DOI":"10.5121\/csit.2023.130301"},{"key":"13_CR23","doi-asserted-by":"crossref","unstructured":"Carmignani, A., Giacomelli, S.: Too many lawyers? Litigation in Italian civil courts. Bank of Italy, Economic Research and International Relations Area (2010). https:\/\/ideas.repec.org\/s\/bdi\/wptemi.html","DOI":"10.2139\/ssrn.1669988"}],"container-title":["Communications in Computer and Information Science","Management of Digital EcoSystems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-51643-6_13","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,2,1]],"date-time":"2024-02-01T06:08:57Z","timestamp":1706767737000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-51643-6_13"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"ISBN":["9783031516429","9783031516436"],"references-count":23,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-51643-6_13","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"type":"print","value":"1865-0929"},{"type":"electronic","value":"1865-0937"}],"subject":[],"published":{"date-parts":[[2024]]},"assertion":[{"value":"2 February 2024","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"MEDES","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Management of Digital","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Heraklion","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Greece","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2023","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"5 May 2023","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"7 May 2023","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"15","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"medes2023","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/conferences.sigappfr.org\/medes2023\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Single-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"EasyChair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"52","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"29","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"0","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"56% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"4","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"2","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"No","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}