| 基于司法判决书的知识图谱构建与知识服务应用分析 |
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| 引用本文： | 黄茜茜,杨建林.基于司法判决书的知识图谱构建与知识服务应用分析[J].情报科学,2022,39(2):133-140. |
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| 作者姓名： | 黄茜茜 杨建林 |
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| 作者单位： | 南京大学信息管理学院;江苏省数据工程与知识服务重点实验室 |
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| 摘 要： | 【目的/意义】构建基于司法判决书的案件知识图谱是对司法数字资源的有效利用，有助于提升司法智能化
水平，积极响应国家“智慧法院”建设发展战略。【方法/过程】以“网络诈骗”领域为例，用“自顶向下”的方式构建知
识图谱。首先，结合文书内容与专家意见构建案件领域本体；接着，通过知识抽取、知识表示、知识融合等环节获取
实体、属性及关系；再利用Neo4j生成案件知识图谱。最后，提出了基于知识图谱的智慧司法知识服务框架。【结果/
结论】基于 2015年-2020年的“网络诈骗”领域司法判决书，构建了含有约 3万个实体和 18万条关系的案件知识图
谱，并详细阐述了具备基础资源层、知识图谱层、服务应用层的智慧司法知识服务框架设计。【创新/局限】实现了案
件知识图谱的实体类型扩充，以丰富图谱应用场景，并将知识图谱技术与智慧司法知识服务框架进行融合；局限在
于仅使用网络诈骗领域判决书数据进行实证研究。
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| 关 键 词： | 知识图谱 知识服务 司法判决书 Bert-BiLSTM-CRF Neo4j |
Construction of Knowledge Graph and Analysis of Knowledge Service Application Based On Judicial Decision Documents |
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| HUANG Xi-xi,YANG Jian-lin.Construction of Knowledge Graph and Analysis of Knowledge Service Application Based On Judicial Decision Documents[J].Information Science,2022,39(2):133-140. |
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| Authors: | HUANG Xi-xi YANG Jian-lin |
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| Institution: | (School of Information Management,Nanjing University,Nanjing 210023,China;Jiangsu Key Laboratory of Data Engineering and Knowledge Service,Nanjing 210023,China) |
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| Abstract: | 【Purpose/significance】The construction of case knowledge graph based on judicial decision documents is an effective use of judicial digital resources,which helps to improve the level of judicial intelligence and actively respond to the national "smart court" construction and development strategy.【Method/process】Take the field of cyber fraud as an example to build the knowledge graph in a top-down way.Firstly,the case domain ontology is constructed by combining the contents of documents and expert opinions.Then,entities, attributes and relationships are acquired through knowledge extraction. knowledge representation and knowledge fusion. Then Neo4 j was used to generate knowledge graph of crime domain.Finally,an intelligent judicial knowledge service framework in crime domain based on knowledge graph is proposed.【Result/conclusion】Based on the judicial decision documents in the field of cyber fraud from 2015 to 2020,a knowledge graph containing about 30,000 entities and 180,000 relationships is constructed.and the framework design of intelligent judicial knowledge service with basic resource layer,knowledge graph layer and service application layer is elaborated in detail.【Innovation/limitation】The entity types of the case knowledge graph were expanded to enrich the application scenarios of the case knowledge graph,and the knowledge graph technology was integrated with the intelligent judicial knowledge service framework.The limitation lies in the empirical research only using the data of judgment in the field of network fraud. |
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| Keywords: | knowledge graph knowledge service judicial decision documents Bert-BiLSTM-CRF Neo4j |
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