CES Simplifies OWL Class Expressions for Improved Ontology Management
Key takeaways
- CES simplifies complex OWL class expressions syntactically.
- It preserves formal semantics while reducing representational complexity.
- Simplification improves reasoning efficiency and human readability.
- The algorithm is implemented in the open-source OWLAPY framework.
Who benefits
Summary
Class Expression Simplifier (CES) is a new algorithm that syntactically simplifies complex OWL class expressions while preserving formal semantics. It reduces representational complexity, making ontologies more interpretable, efficient for reasoning, and easier to maintain.
Why it matters
Professionals dealing with knowledge graphs, semantic web technologies, or complex data models can use CES to improve the clarity, maintainability, and reasoning efficiency of their ontologies, leading to more robust and scalable systems.
How to implement this in your domain
- 1Assess the complexity of existing OWL ontologies or knowledge graphs.
- 2Integrate the CES algorithm (via OWLAPY) into ontology development workflows.
- 3Apply CES to simplify learned or manually created class expressions.
- 4Measure the impact of simplification on reasoning performance and human interpretability.
- 5Educate team members on best practices for creating and maintaining simplified ontologies.
Original post by Alkid Baci, N'Dah Jean Kouagou, Caglar Demir, Axel-Cyrille Ngonga Ngomo
"arXiv:2608.18899v1 Announce Type: new Abstract: Class expression learning often produces complex OWL class expressions that are difficult to interpret and reason over. However, by following theoretically grounded simplification principles, this complexity can be reduced. In this…"
View on XOriginally posted by Alkid Baci, N'Dah Jean Kouagou, Caglar Demir, Axel-Cyrille Ngonga Ngomo on X · view source
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