Mirna El Ghosh , Hala Naja , Habib Abdulrab , Mohamad Khalil
{"title":"CriMOnto: A generalized domain-specific ontology for modeling procedural norms of the Lebanese criminal law","authors":"Mirna El Ghosh , Hala Naja , Habib Abdulrab , Mohamad Khalil","doi":"10.1016/j.datak.2025.102419","DOIUrl":null,"url":null,"abstract":"<div><div>Criminal (or penal) law regulates offenses, offenders, and legal punishments. Modeling criminal law is gaining much attention in the ontology engineering community. However, a significant aspect is neglected: the explicit representation of procedural knowledge. Procedural norms, such as regulative norms, are addressed to agents in the normative system. They govern the different interactions among these agents. In this study, we propose a formal and faithful representation of the procedural aspect of legal norms in the context of the Lebanese Criminal Code. A modular domain-specific ontology named CriMOnto is developed for this purpose. CriMOnto is grounded in the Unified Foundational Ontology (UFO) and the legal core ontology UFO-L by applying the Ontology-Driven Conceptual Modeling (ODCM) process. Conceptual Ontology Patterns (COPs) are reused from UFO and UFO-L to build the hierarchical and procedural content of the ontology. CriMOnto is validated as a formal ontology and evaluated using a dual evaluation approach. The potential use of CriMOnto for lightweight rule-based decision support is discussed in this study.</div></div>","PeriodicalId":55184,"journal":{"name":"Data & Knowledge Engineering","volume":"158 ","pages":"Article 102419"},"PeriodicalIF":2.7000,"publicationDate":"2025-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Data & Knowledge Engineering","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0169023X2500014X","RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE","Score":null,"Total":0}
引用次数: 0
Abstract
Criminal (or penal) law regulates offenses, offenders, and legal punishments. Modeling criminal law is gaining much attention in the ontology engineering community. However, a significant aspect is neglected: the explicit representation of procedural knowledge. Procedural norms, such as regulative norms, are addressed to agents in the normative system. They govern the different interactions among these agents. In this study, we propose a formal and faithful representation of the procedural aspect of legal norms in the context of the Lebanese Criminal Code. A modular domain-specific ontology named CriMOnto is developed for this purpose. CriMOnto is grounded in the Unified Foundational Ontology (UFO) and the legal core ontology UFO-L by applying the Ontology-Driven Conceptual Modeling (ODCM) process. Conceptual Ontology Patterns (COPs) are reused from UFO and UFO-L to build the hierarchical and procedural content of the ontology. CriMOnto is validated as a formal ontology and evaluated using a dual evaluation approach. The potential use of CriMOnto for lightweight rule-based decision support is discussed in this study.
期刊介绍:
Data & Knowledge Engineering (DKE) stimulates the exchange of ideas and interaction between these two related fields of interest. DKE reaches a world-wide audience of researchers, designers, managers and users. The major aim of the journal is to identify, investigate and analyze the underlying principles in the design and effective use of these systems.