2024/09/30 by Zhangcheng Qiang, Kerry Taylor, Qiang, Zhangcheng +3
Computer Science · Medicine · #Computer science #Information retrieval #Matching (statistics) #Medicine #Natural Language Processing Techniques #Ontology #Ontology alignment #Philosophy #Programming language #Semantic Web #Semantic Web and Ontologies #Service-Oriented Architecture and Web Services #Software #Software engineering #Software versioning #Upper ontology #World Wide Web #cs.AI #cs.CL #cs.IR
paper · pdf · doi:10.48550/arxiv.2409.20302
18 pages, 10 figures, 2 tables
openalex publication_date 2024/09/30 · openalex created_date 2025/10/10 · arxiv created 2026/07/30 · arxiv updated 2026/07/31 · openalex updated_date 2026/08/01
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 the 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.