Finnish Legislation and Case Law on the Semantic Web
A short video introducing the LawSampo initiative and system.
A demonstration video of the ANOPPI tool for pseudonymizing documents, such as court decisions to be publihished in LawSampo.
Presentation at the European Commission Webinar "Anonymization and pseudonymization of judicial decisions", March 26, 2021
See the publications below or the Finnish project homepage.
Eero Hyvönen, Minna Tamper, Esko Ikkala, Mikko Koho, Rafael Leal, Joonas Kesäniemi, Arttu Oksanen, Jouni Tuominen and Aki Hietanen: LawSampo Portal and Data Service for Publishing and Using Legislation and Case Law as Linked Open Data on the Semantic Web
. AI4LEGAL-KGSUM 2022: Artificial Intelligence Technologies for Legal Documents and Knowledge Graph Summarization 2022
, vol. 3257, pp. 41-50, CEUR Workshop Proceedings, August, 2022. bib pdf link
. Semantic Web – Interoperability, Usability, Applicability, vol. 13, no. 1, pp. 69-84, January, 2022. Online version published in 2021, print version in 2022. bib pdf link
Rafael Leal, Joonas Kesäniemi, Mikko Koho and Eero Hyvönen: Relevance Feedback Search Based on Automatic Annotation and Classification of Texts
. 3rd Conference on Language, Data and Knowledge (LDK 2021)
(Dagmar Gromann, Gilles Sérasset, Thierry Declerck, John P. McCrae, Jorge Gracia, Julia Bosque-Gil, Fernando Bobillo and Barbara Heinisch (eds.)), Open Access Series in Informatics (OASIcs), vol. 93, pp. 18:1-18:15, Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2021. bib pdf link
Eero Hyvönen, Minna Tamper, Esko Ikkala, Sami Sarsa, Arttu Oksanen, Jouni Tuominen and Aki Hietanen: Publishing and Using Legislation and Case Law as Linked Open Data on the Semantic Web
. The Semantic Web: ESWC 2020 Satellite Events
(Harth, Andreas, Presutti, Valentina, Troncy, Raphaël, Acosta, Maribel, Polleres, Axel, Fernández, Javier D., Xavier Parreira, Josiane, Hartig, Olaf, Hose, Katja and Cochez, Michael (eds.)), Lecture Notes in Computer Science, vol. 12124, pp. 110-114, Springer-Verlag, 2020. bib pdf link
Arttu Oksanen, Jouni Tuominen, Eetu Mäkelä, Minna Tamper, Aki Hietanen and Eero Hyvönen: Semantic Finlex: Transforming, Publishing, and Using Finnish Legislation and Case Law As Linked Open Data on the Web
. Knowledge of the Law in the Big Data Age
(G. Peruginelli and S. Faro (eds.)), Frontiers in Artificial Intelligence and Applications, vol. 317, pp. 212-228, IOS Press, 2019. ISBN 978-1-61499-984-3 (print); ISBN 978-1-61499-985-0 (online). bib pdf link
Governments publish legislation and case law widely in print and on the Web. Such legal information is provided for human consumption, but the information is usually not available as data for algorithmic analysis and applications to use. However, this would be beneficial in many use cases, such as building more intelligent juridical online services and conducting research into legislation and legal practice. To address these needs, this Chapter presents Semantic Finlex, a national in-use data resource and service for publishing Finnish legislation and related case law as Linked Open Data for legal applications to use. The system transforms and interlinks on a regular basis data from the legacy legal database Finlex of the Ministry of Justice into Linked Open Data, based on the European standards ECLI and ELI. The published data is hosted on the 7-star Linked Data Finland service and SPARQL endpoint with a variety of related services available that ease data re-use. Rich Internet Applications using SPARQL for data access are presented as application demonstrators of the data service. In addition, this Chapter presents methods and tools under development to automatically annotate legal texts and to anonymize case law documents prior to their publication on the Web. Anonymization is necessary due to issues of data protection and privacy, and annotation is needed for semantic search and interlinking the documents. The automated approaches could significantly speed up the process and minimize costs of publishing legal documents as Linked Open Data.