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 pipeline to offer more advanced OV support. 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 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更至关重要。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得到认可，但许多方法将OV视为类似于本体匹配（OM），并直接复用OM系统来处理OV任务。本研究系统分析了OM与OV之间的异同，并形式化了一个OM4OV流程，以提供更先进的OV支持。该流程在最先进的OM系统Agent-OM中实现并评估。实验结果表明，OM系统可有效复用于OV任务，但若缺乏必要的扩展，可能导致测量结果偏差、更新实体检测性能不佳以及对错误映射的解释有限。为解决这些问题，我们提出了一种称为交叉引用（CR）机制的优化方法，该方法基于现有OM对齐来减少匹配候选数量，并提升整体OV性能。