Explaining Non-Entailment by Model Transformation for the Description Logic EL
Publikation: Beitrag in Buch/Konferenzbericht/Sammelband/Gutachten › Beitrag in Konferenzband › Beigetragen › Begutachtung
Beitragende
Abstract
Reasoning results computed by description logic systems can be hard to comprehend. When an ontology does not entail an expected subsumption relationship, generating an explanation of this non-entailment becomes necessary. In this paper, we use countermodels to explain non-entailments. More precisely, we devise relevant parts of canonical models of EL ontologies that serve as explanations and discuss the computational complexity of extracting these parts by means of model transformations. Furthermore, we provide an implementation of these transformations and evaluate it using real ontologies.
Details
| Originalsprache | Englisch |
|---|---|
| Titel | IJCKG '22: Proceedings of the 11th International Joint Conference on Knowledge Graphs |
| Redakteure/-innen | Alessandro Artale, Diego Calvanese, Haofen Wang, Xiaowang Zhang |
| Seiten | 1-9 |
| Seitenumfang | 9 |
| ISBN (elektronisch) | 9781450399876 |
| Publikationsstatus | Veröffentlicht - 13 Feb. 2023 |
| Peer-Review-Status | Ja |
Publikationsreihe
| Reihe | IJCKG: International Joint Conference on Knowledge Graphs |
|---|
Externe IDs
| Scopus | 85148543350 |
|---|---|
| dblp | conf/jist/AlrabbaaH22 |
| Mendeley | 8c330099-4ff9-3904-a1a2-76a5bafba995 |
Schlagworte
ASJC Scopus Sachgebiete
- Software - Model Transformation, Explainable AI, Description Logics
- Human-computer interaction - Model Transformation, Explainable AI, Description Logics
- Maschinelles Sehen und Mustererkennung - Model Transformation, Explainable AI, Description Logics
- Computernetzwerke und -kommunikation - Model Transformation, Explainable AI, Description Logics
Schlagwörter
- Model Transformation, Explainable AI, Description Logics
Bibliotheksschlagworte
- 004 Informatik - Model Transformation, Explainable AI, Description Logics