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- Michael Lewis, Eljas Oksanen, Frida Ehrnsten, Heikki Rantala, Jouni Tuominen and Eero Hyvönen: The Impact of Human Decision-making on the Research Value of Archaeological Data
- Eero Hyvönen: Digital Humanities on the Semantic Web: from Infrastructure to Practical Applications, AI-based Knowledge Discovery, and Web of Wisdom
- Eero Hyvönen, Petri Leskinen, Henna Poikkimäki, Heikki Rantala, Refael Leal, Jouni Tuominen, Senka Drobac, Ossi Koho, Ilona Pikkanen and Hanna-Leena Paloposki: Searching, exploring, and analyzing historical letters and the underlying networks: LetterSampo Finland – Finnish 19th-Century Letters on the Semantic Web
- Sarah Binta Alam Shoilee, Victor de Boer, Annastiina Ahola, Heikki Rantala, Eero Hyvönen , Jacco van Ossenbruggen and Susan Legene: Bridging Data Gaps: Harnessing Semantic Associations for Knowledge Discovery in Colonial Heritage
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Semantic Finlex:
Finnish Law and Justice as Linked Open Data |
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Project Goals
We aim at developing a next version of the Semantic Finlex we created in our former Linked Data Finland project. The new publication will be based on the new XML format of Edita Publishing Ltd, transformed into RDF using the European ELI and ECLI standards. In addition, we study automatic annotation of texts for semantic enriching, linking Semantic Finlex with related datasets, and applications of the datasets.
Data Service Published
The Semantic Finlex prototype sf.seco.cs.aalto.fi was published in a publication event organized by the Ministry of Justice and Aalto University on March 10, 2016, at the House of the Estates.
Project Organization
The project has been funded first as part of the Linked Data Finland project and then by the Ministry of Justice and Ministry of Finance. We have collaborated also with Edita Publishing Ltd and Talentum Media Ltd.
Contact Persons
Eero Hyvönen (leader), Aalto University, University of Helsinki (HELDIG)
Jouni Tuominen, University of Helsinki (HELDIG), Aalto University
Eetu Makelä, Aalto University
Arttu Oksanen, Aalto University, University of Helsinki (HELDIG)
Minna Tamper, Aalto University, University of Helsinki (HELDIG)
Aki Hietanen, Ministry of Justice
Articles
2024
Aija Valleala: Suomalaisten säädösten muutoshistorian kuvaaminen ja käyttö Lakisampo-järjestelmässä. MSc Thesis (in Finnish), Aalto University, Department of Computer Science, October, 2024. bib pdf
2023
Matias Frosterus: Building Ontology and Data Infrastructure for Semantic Web Applications. Dissertation, Aalto University, School of Science, Department of Computer Science, April, 2023. bib link
2019
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.
2017
Eero Hyvönen, Arttu Oksanen, Jouni Tuominen, Eetu Mäkelä and Minna Tamper: Semanttinen Finlex. Laki ja oikeus avoimena linkitettynä datana. (Semantic Finlex. Law and Justice as Linked Open Data.). Oikeus-lehti, vol. 46, no. 1, March, 2017. bib pdf
2014
Matias Frosterus, Jouni Tuominen and Eero Hyvönen: Facilitating Re-use of Legal Data in Applications--Finnish Law as a Linked Open Data Service. Proceedings of the 27th International Conference on Legal Knowledge and Information Systems (JURIX 2014), pp. 115-124, IOS Press, Krakow, Poland, December, 2014. bib pdf link
2013
Matias Frosterus, Jouni Tuominen, Mika Wahlroos and Eero Hyvönen: The Finnish Law as a Linked Data Service. The Semantic Web: ESWC 2013 Satellite Events, pp. 289-290, Springer-Verlag, Berlin Heidelberg, Montpellier, France, May 26-30, 2013. bib pdf
Juridical information is important to organizations and individuals alike and is linked to from all walks of life. The Finnish government has published the Finlex Data Bank for searching and browsing legislation documents. However, the data there is not yet open, is based on a traditional XML schema, and does not conform to new semantic metadata standards. There are many difficulties in maintaining and using the site in, e.g., data harvesting, interoperability, querying, and linking that could be mitigated by the Semantic Web technologies. This paper presents an approach and a project—including first results—for publishing and using Finnish legislation as a 5-star Linked Open Data service.
