Due to the dynamic nature of the Semantic Web, version control is necessary to capture time-varying information for widely used ontologies. Despite the long-standing recognition of ontology versioning (OV) as a crucial component of efficient ontology management, many views treat OV as similar to ontology matching (OM) and directly reuse OM systems for OV tasks. In this study, we systematically analyse the similarities and differences between OM and OV and formalise the OM4OV pipeline. The pipeline is implemented and evaluated in the state-of-the-art OM system Agent-OM. The experimental results indicate that OM systems can be reused for OV tasks, but without necessary modifications, the current OM4OV pipeline can produce skewed measurements, poor performance in detecting update entities, and less explainability for false mappings. To tackle these issues, we propose an optimisation method called the cross-reference (CR) mechanism, building upon the existing alignment(s) from OM to reduce the number of matching candidates and improve overall OV performance.

翻译：由于语义网的动态特性，对广泛使用的本体进行版本控制是捕获时变信息的必要手段。尽管本体版本控制（OV）作为高效本体管理的关键组成部分早已被认可，但许多观点将OV视为与本体匹配（OM）类似，并直接复用OM系统处理OV任务。本研究系统分析了OM与OV之间的异同，并形式化定义了OM4OV流程。该流程在先进的OM系统Agent-OM中实现并评估。实验结果表明，OM系统可被复用于OV任务，但若未进行必要修改，当前OM4OV流程可能导致测量偏差、更新实体检测性能不佳，以及错误映射可解释性不足等问题。为解决这些问题，我们提出一种基于现有OM对齐的优化方法——交叉引用（CR）机制，通过减少匹配候选数量来提升整体OV性能。