本体驱动的财产犯罪自动推理

IF 7.9 3区 管理学 Q1 Computer Science Business & Information Systems Engineering Pub Date : 2024-08-12 DOI:10.1007/s12599-024-00886-3
Francisco Navarrete, Ángel L. Garrido, Carlos Bobed, Manuel Atencia, Antonio Vallecillo
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引用次数: 0

摘要

根据报告中描述的犯罪行为类型对警方报告进行分类并非易事。报告是用自然语言撰写的,经常会出现信息缺失、不准确甚至不一致的情况,或者缺乏足够的细节来做出明确的判决。这项工作以财产犯罪为重点,旨在通过自动提取警方报告中的信息,生成一份可能的犯罪分类列表,并附带对每种分类的置信度,从而在分类过程中为法官提供帮助。这项工作遵循设计科学研究方法,将开发工具作为一种人工制品。在为西班牙财产犯罪法律系统开发的本体论的指导下,该提案使用信息提取技术从报告中获取数据。概率推理机制用于选择可能适用于特定案件的法律条款集,即使在证据无法明确识别的情况下也是如此。该提案已在真实环境中与法官和检察官进行了经验验证。结果表明,该建议可行且可用,可有效协助法官对财产犯罪报告进行分类。
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Ontology-Driven Automated Reasoning About Property Crimes

The classification of police reports according to the typification of the criminal act described in them is not an easy task. The reports are written in natural language and often present missing, imprecise, or even inconsistent information, or lack sufficient details to make a clear decision. Focusing on property crimes, the aim of this work is to assist judges in this classification process by automatically extracting information from police reports and producing a list of possible classifications of crimes accompanied by a degree of confidence in each of them. The work follows the design science research methodology, developing a tool as an artifact. The proposal uses information extraction techniques to obtain the data from the reports, guided by an ontology developed for the Spanish legal system on property crimes. Probabilistic inference mechanisms are used to select the set of articles of the law that could apply to a given case, even when the evidence does not allow an unambiguous identification. The proposal has been empirically validated in a real environment with judges and prosecutors. The results show that the proposal is feasible and usable, and could be effective in assisting judges to classify property crime reports.

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来源期刊
Business & Information Systems Engineering
Business & Information Systems Engineering 工程技术-计算机:信息系统
CiteScore
11.30
自引率
7.60%
发文量
44
审稿时长
3.0 months
期刊介绍: BISE (Business & Information Systems Engineering) is an international scholarly journal that undergoes double-blind peer review. It publishes scientific research on the effective and efficient design and utilization of information systems by individuals, groups, enterprises, and society to enhance social welfare. Information systems are viewed as socio-technical systems involving tasks, people, and technology. Research in the journal addresses issues in the analysis, design, implementation, and management of information systems.
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