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.

中文翻译：

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基于知识的法律文件汇编

本文提出了一种基于知识的法律文件组装方法，该方法使用法律专业人员的知识的机器可读表示。该知识库有两个组成部分——以规则库表示的法律规范的形式知识和以文档模板表示的隐性知识。文档组装系统是作为概念证明而开发的。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。该系统还创建一个参数图作为推理过程的解释，为用户提供输入数据和规则库如何影响输出文档内容的解释。系统还对输出文档中的数据进行语义标记，