将立法系统建模为属性图以实现高级模式检测
Modelling Legislative Systems into Property Graphs to Enable Advanced Pattern Detection
AI总结：
针对传统RDF方法难以应对立法系统复杂性的问题，提出将立法系统建模为属性图，基于Akoma Ntoso标准提取知识，用Neo4j实现意大利立法系统模型，可高效处理复杂查询，助力立法系统比较研究。
摘要：
由于法律数量持续增长且法律间相互依存关系错综复杂，立法系统正面临日益加剧的复杂性。传统的法律系统存储与分析方法主要基于RDF，难以应对这种复杂性，阻碍了领域专家所需的高效知识发现。本文提出将立法系统建模为属性图，其中边代表法律及其条款或附件之间的引用、修改和废止关系，法律与条款/附件均作为带属性的节点和边表示。作为实际用例，我们在意大利立法系统中实现了该模型。首先，我们阐述了从法律文本中提取知识的方法，为此利用了近期国际通用的XML法律标准Akoma Ntoso（法律文件结构化标记标准），来解析并识别实体、关系和属性。接着，我们介绍了使用市场领先的图数据库管理系统Neo4j实现的模型与模式，该模式旨在捕捉法律的结构、层级及其相互依存关系。我们展示了这种属性图如何高效解答此前在原始文本上无法实现的复杂且相关的查询。借助Akoma Ntoso标准的其他实现方案及本文提出的属性图方法，我们相信这项工作将推动对不同立法系统及其复杂性的全面比较。
英文摘要：
Legislative systems face growing complexity due to the ever-increasing number of laws and intricate interdependencies between them. Traditional methods of storing and analyzing legal systems, mainly based on RDF, struggle with this complexity, hindering efficient knowledge discovery, as required by domain experts. In this paper, we propose to model legislation into a property graph, where edges represent citations, modifications, and abrogations between laws and their articles or attachments, both represented as nodes and edges with properties. As a practical use case, we implement the model in the Italian legislative system. First, we describe our approach to extracting knowledge from legal texts. To this aim, we leverage the recently internationally adopted XML law standard, Akoma Ntoso, to parse and identify entities, relationships and properties. Next, we describe the model and the schema implemented using Neo4j, the market-leading graph database management system. The schema is designed to capture the structure and hierarchy of laws, together with their interdependencies. We show how such a property graph enables an efficient answer to complex and relevant queries previously impractical on raw text. By leveraging other implementations of the Akoma Ntoso standard and the proposed property graph approach, we are confident that this work will facilitate a comprehensive comparison of legislative systems and their complexities.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
