Due to the dynamic nature of the Semantic Web, version control is necessary to manage changes in widely used ontologies. Despite the long-standing recognition of ontology versioning (OV) as a crucial component of efficient ontology management, many approaches treat OV as similar to ontology matching (OM) and directly reuse OM systems for OV tasks. In this study, we systematically analyse similarities and differences between OM and OV and formalise an OM4OV framework to offer more advanced OV support. The framework is implemented and evaluated in the state-of-the-art OM system Agent-OM. The experimental results indicate that OM systems can be effectively reused for OV tasks, but without necessary extensions, can produce skewed measurements, poor performance in detecting update entities, and limited explanation of false mappings. To tackle these issues, we propose an optimisation method called the cross-reference (CR) mechanism, which builds on existing OM alignments to reduce the number of matching candidates and to improve overall OV performance.

翻译：由于语义网的动态特性，版本控制对于管理广泛使用的本体的变化至关重要。尽管本体版本管理（OV）长期以来被视为高效本体管理的关键组成部分，但许多方法将OV与本体匹配（OM）视为同一问题，并直接复用OM系统执行OV任务。在本研究中，我们系统分析了OM与OV之间的异同，并形式化了一个OM4OV框架以提供更先进的OV支持。该框架在先进的OM系统Agent-OM中实现并进行了评估。实验结果表明，OM系统可有效复用于OV任务，但若缺乏必要扩展，会导致测量结果偏差、在检测更新实体方面性能不佳以及对错误映射的解释有限。为解决这些问题，我们提出了一种名为交叉引用（CR）机制的优化方法，该方法基于现有OM对齐结果，减少匹配候选对象数量并提升整体OV性能。