收稿日期: 2014-05-20
修回日期: 2014-06-20
网络出版日期: 2014-07-05
Study on the Reasoning Scheme of Criminal Justice Cases Based on Ontology
Received date: 2014-05-20
Revised date: 2014-06-20
Online published: 2014-07-05
佘贵清 , 张永安 . 基于本体的刑事审判案例推理方案研究[J]. 图书情报工作, 2014 , 58(13) : 118 -124 . DOI: 10.13266/j.issn.0252-3116.2014.13.020
The study focuses on building criminal justice reasoning model, reasoning for the result of judgement based on the ontology knowledge base of past records.This article uses data mining algorithms such as decision tree learning and neural network to design a cascade reasoning model，based on the former research findings include Criminal Judgment Ontology Knowledge Base. We use the reasoning model which has been trained to predict the judgment result.Through the experimental verification, we confirm that our reasoning model can effectively predict the type and term of panalty, which could possitively support justice，also improve the effectiveness and ability on processing information in the field of criminal judgment.
Key words： legal reasoning; ontology; criminal judgment
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