用本体匹配技术改进本体版本管理，提升变更检测准确率
OM4OV: Leveraging Ontology Matching for Ontology Versioning
- 将本体匹配框架改造为本体版本管理工具
- 引入交叉引用机制后，错误匹配减少，更新实体识别更准
- 适合需要精确追踪知识库变化的研究者和系统开发者
由于语义网的动态性，对广泛使用的本体进行版本控制至关重要。尽管本体版本管理（OV）被公认为高效本体管理的关键组成部分，但许多方法将其视为与本体匹配（OM）类似任务，直接复用现有OM系统。本文系统分析了OM与OV的异同，提出并实现了OM4OV框架，集成于先进的OM系统Agent-OM中。实验表明，直接复用OM系统虽可行，但缺乏必要扩展时会导致测量偏差、更新实体检测性能差、以及错误映射解释不足。为此，我们提出交叉引用（CR）优化机制，基于已有匹配结果减少候选集，显著提升整体OV性能。
原文摘要 · Abstract (English)
Due to the dynamics 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 the necessary extensions, can produce skewed measurements, poor performance in detecting update entities, and limited explanations 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.
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