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OM4OV: Leveraging Ontology Matching for Ontology Versioning

Authors: Zhangcheng Qiang, Kerry Taylor, and Weiqing Wang

Published in: TGDK, Volume 4, Issue 2 (2024): Special Issue on Data Management for (Knowledge) Graphs. Transactions on Graph Data and Knowledge, Volume 4, Issue 2


Abstract
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.

Cite as

Zhangcheng Qiang, Kerry Taylor, and Weiqing Wang. OM4OV: Leveraging Ontology Matching for Ontology Versioning. In Special Issue on Data Management for (Knowledge) Graphs. Transactions on Graph Data and Knowledge (TGDK), Volume 4, Issue 2, pp. 6:1-6:19, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2026)


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@Article{qiang_et_al:TGDK.4.2.6,
  author =	{Qiang, Zhangcheng and Taylor, Kerry and Wang, Weiqing},
  title =	{{OM4OV: Leveraging Ontology Matching for Ontology Versioning}},
  journal =	{Transactions on Graph Data and Knowledge},
  pages =	{6:1--6:19},
  ISSN =	{2942-7517},
  year =	{2026},
  volume =	{4},
  number =	{2},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/TGDK.4.2.6},
  URN =		{urn:nbn:de:0030-drops-275876},
  doi =		{10.4230/TGDK.4.2.6},
  annote =	{Keywords: ontology matching, ontology versioning}
}

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