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基于语义Web技术的立法文件内容提取–关于处理法律历史的用例

Legislative document content extraction based on Semantic Web technologies – A use case about processing the History of the Law
课程网址: http://videolectures.net/eswc2019_Cifuentes_Gayo_law/  
主讲教师: José Emilio Labra Gayo
开课单位: 吉翁奥维耶多大学
开课时间: 2019-09-19
课程语种: 英语
中文简介:
本文描述了为智利国家国会图书馆(BCN)开发的生成《法律史》的系统架构。生产系统使用语义Web技术、Akoma Ntoso和工具,可以自动将纯文本标记为XML,丰富和链接文档。这些有语义注释的文件可以发展专门的政治和立法服务,并为公共使用的法律知识库提取知识。我们展示了用于实现自动标记工具的策略,并描述了从语义文档生成的知识图。最后,我们展示了使用语义技术处理文档的时间与手动任务的时间之间的对比,以及在此过程中吸取的教训,为复制技术模型奠定了基础,该技术模型允许为不同上下文生成有用的服务。
课程简介: This paper describes the system architecture for generating the History of the Law developed for the Chilean National Library of Congress (BCN). The production system uses Semantic Web technologies, Akoma-Ntoso, and tools that automate the marking of plain text to XML, enriching and linking documents. These documents semantically annotated allow to develop specialized political and legislative services, and to extract knowledge for a Legal Knowledge Base for public use. We show the strategies used for the implementation of the automatic markup tools, as well as describe the knowledge graph generated from semantic documents. Finally, we show the contrast between the time of document processing using semantic technologies versus manual tasks, and the lessons learnt in this process, installing a base for the replication of a technological model that allows the generation of useful services for diverse contexts.
关 键 词: 基于语义Web技术; 立法文件内容提取; 法律知识库提取知识; 处理法律历史的用例; 纯文本标记为XML
课程来源: 视频讲座网
数据采集: 2022-09-20:cyh
最后编审: 2022-09-21:cyh
阅读次数: 15