# Completing and Debugging Ontologies: state of the art and challenges

arXiv: https://arxiv.org/abs/1908.03171 · HTML: https://mlsanity.com/paper/1908.03171/

## Key facts

- Cited by 4 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 8 Aug 2019.

## Built on by (most cited first, 4 of 4)

- [Repairing EL Ontologies Using Weakening and Completing](https://mlsanity.com/paper/2208.00486/) (2022)
- [Dealing with Inconsistency for Reasoning over Knowledge Graphs: A Survey](https://mlsanity.com/paper/2502.19023/) (2025)
- [Evaluating Class Membership Relations in Knowledge Graphs using Large Language Models](https://mlsanity.com/paper/2404.17000/) (2024)
- [Repairing Networks of EL_perp Ontologies using Weakening and Completing -- Extended version](https://mlsanity.com/paper/2407.18848/) (2024)

## Abstract (arXiv)

As semantically-enabled applications require high-quality ontologies, developing and maintaining ontologies that are as correct and complete as possible is an important although difficult task in ontology engineering. A key step is ontology debugging and completion. In general, there are two steps: detecting defects and repairing defects. In this paper we discuss the state of the art regarding the repairing step. We do this by formalizing the repairing step as an abduction problem and situating the state of the art with respect to this framework. We show that there are still many open research problems and show opportunities for further work and advancing the field.