语义Finlex:转换、发布和使用芬兰立法和判例法作为网络上连接的开放数据

Arttu Oksanen, Minna Tamper, J. Tuominen, E. Mäkelä, Aki Hietanen, E. Hyvönen
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引用次数: 27

摘要

政府在印刷品和网络上广泛公布立法和判例法。这些法律信息是供人类使用的,但这些信息通常不能作为数据供算法分析和应用程序使用。然而,这在许多用例中是有益的,例如构建更智能的司法在线服务以及对立法和法律实践进行研究。为了满足这些需求,本章介绍了Semantic Finlex,这是一个国家使用的数据资源和服务,用于发布芬兰立法和相关判例法,作为法律应用程序使用的链接开放数据。该系统基于欧洲标准ECLI和ELI,定期将来自司法部遗留法律数据库Finlex的数据转换和互连为链接开放数据。发布的数据托管在“7星”芬兰关联数据服务和SPARQL端点上,并提供各种相关服务,方便数据重用。将使用SPARQL进行数据访问的富Internet应用程序作为数据服务的应用程序演示。此外,本章还介绍了正在开发的方法和工具,用于自动注释法律文本,并在判例法文件在网络上发布之前对其进行匿名化。由于数据保护和隐私问题,匿名化是必要的,并且需要注释来进行语义搜索和相互链接文档。自动化方法可以显著加快流程,并将法律文件作为关联开放数据发布的成本降至最低。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Semantic Finlex: Transforming, Publishing, and Using Finnish Legislation and Case Law As Linked Open Data on the Web
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.
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