论文标题
基于知识的法律文件集会
Knowledge-Based Legal Document Assembly
论文作者
论文摘要
本文提出了一种基于知识的法律文档组装方法，该方法使用机器可读的法律专业人士知识表示。该知识库有两个组成部分 - 法律规范的形式知识表示为规则基础，以及由文档模板表示的默认知识。文档组装系统是作为概念证明的。它以交互式访谈的形式收集输入数据，对输入数据进行法律推理，并生成输出文档。该系统还创建了一个参数图作为推理过程的解释，从而为用户提供了对输入数据和规则库如何影响输出文档内容的解释。该系统还在语义上标记了输出文档中的数据，从而促进了其进一步的处理，并为法律域中信息系统的互操作性提供了支持。
This paper proposes a knowledge-based legal document assembly method that uses a machine-readable representation of knowledge of legal professionals. This knowledgebase has two components - the formal knowledge of legal norms represented as a rule-base and the tacit knowledge represented by a document template. A document assembly system is developed as a proof of concept. It collects input data in the form of an interactive interview, performs legal reasoning over input data, and generates the output document. The system also creates an argument graph as an explanation of the reasoning process providing the user with an interpretation of how the input data and the rule-base influence the content of the output document. The system also semantically marks up data in the output document, facilitating its further processing and providing support to the interoperability of information systems in the legal domain.
