AI 中文总结
本研究提出PreventCSA@EU本体框架，用于CSAM/CSEM的分类与调查，通过整合现有标准与新型分层本体提升跨系统兼容性，支持欧盟层面跨组织合作与自动化处理。
AI 中文摘要
本研究提出了PreventCSA@EU本体，这是一个基于语义的框架，旨在支持在线儿童性虐待和儿童性剥削材料（CSAM/CSEM）的识别、分类、标注与分析。CSAM/CSEM在数字环境中的传播日益广泛，加之不同司法管辖区的法律定义和分类实践存在不一致，凸显了对语义互操作框架的需求，这类框架需能够支持跨组织合作与自动化处理。所提出的本体通过对现有与儿童性虐待/剥削（CSA/CSE）相关、面向元数据及调查类本体和分类法的系统综述与比较分析开发而成，其主要设计目标是满足各国执法机构（LEA）部门的操作需求与特定领域要求。该本体引入了围绕媒体对象、内容、人员、描绘对象和调查报告等核心实体构建的分层语义模型，同时支持与INHOPE UCS标签、都柏林核心-数字资源描述与发现元数据倡议（Dublin Core-DMCI Metadata Terms）及相关标准的结构化对齐。该框架强调基于本体的互操作性，用于CSA/CSE相关数据的结构化标注与分析，支持一致的分类、儿童识别及用于起诉罪犯的调查流程。其设计目标还包括为数据库概念化、流程建模及基于本体的数据管理补充额外的概念结构。通过将已有的分类标准与新型分层本体相结合，所提出的框架提升了跨系统兼容性，尤其与欧盟层面新兴数据基础设施相关，包括拟议的《儿童性虐待条例》（CSAR）下规划的欧盟中心数据库。
英文摘要
This work presents the PreventCSA@EU ontology, a semantically grounded framework designed to support the identification, classification, annotation, and analysis of online Child Sexual Abuse and Child Sexual Exploitation Material (CSAM/CSEM). The growing circulation and dissemination of CSAM/CSEM across digital environments, combined with inconsistencies in legal definitions and classification practices across jurisdictions, highlights the need for semantically interoperable frameworks capable of supporting cross-organizational cooperation and automated processing. The proposed ontology is developed through a systematic review and comparative analysis of existing CSA/CSE-related, metadata oriented, and investigative ontologies and taxonomies, with its primary design aimed at addressing the operational needs and domain-specific requirements of national LEA Directorates. It introduces a hierarchical semantic model built around core entities such as Media Object, Content, Person, Depiction, and Investigative Report, while enabling structured alignment with INHOPE UCS labels, Dublin Core-DMCI Metadata Terms, and Schema.org. The proposed framework emphasizes ontology-driven interoperability for structured annotation and analysis of CSA/CSE-related data, supporting consistent classification, child identification, and investigative processes for offender prosecution. The design aims extend existing classification approaches with additional conceptual structures for database conceptualization, process modeling, and ontology-driven data management. By integrating established classification standards with a novel hierarchical ontology, the proposed framework enhances cross-system compatibility, with particular relevance to emerging EU-level data infrastructures, including the envisaged EU Center database under the proposed Child Sexual Abuse Regulation (CSAR).
Comments24 pages, 7 figures
