{"slug": "neurowl-an-llm-based-neural-symbolic-framework-for-incomplete-owl-ontology", "title": "NeurOWL: An LLM-Based Neural-symbolic Framework for Incomplete OWL Ontology Reasoning", "summary": "Researchers propose NeurOWL, an end-to-end neuro-symbolic framework that uses Large Language Models and ontology embeddings to perform subsumption verification and abduction for incomplete OWL ontologies, addressing a fundamental reasoning problem in domains such as healthcare and bioinformatics. The framework demonstrates strong and robust performance across multiple real-world ontologies.", "body_md": "arXiv:2607.15776v1 Announce Type: new\nAbstract: OWL ontologies provide a formal knowledge representation framework that enables semantic reasoning, and have been widely adopted across domains such as healthcare and bioinformatics. In practice, however, real-world ontologies are often incomplete, which pose challenges for reasoning. In this work, we focus on a fundamental subsumption reasoning problem: given an incomplete ontology and a candidate (non-entailed) subsumption, determine whether the subsumption is semantically plausible and, if so, providing a logically sound explanation containing potential missing axioms. This task unifies subsumption verification with ontology abduction, and generalizes the latter by removing the need for a predefined candidate set of missing axioms. To address this subsumption reasoning problem, we propose NeurOWL, an end-to-end neuro-symbolic framework that jointly performs verification and abduction, leveraging both formally defined semantics and textual semantics through Large Language Models and ontology embeddings. We evaluate NeurOWL on real-world ontologies across multiple domains, demonstrating strong and robust performance across different domains.", "url": "https://wpnews.pro/news/neurowl-an-llm-based-neural-symbolic-framework-for-incomplete-owl-ontology", "canonical_source": "https://arxiv.org/abs/2607.15776", "published_at": "2026-07-20 04:00:00+00:00", "updated_at": "2026-07-20 13:53:40.259742+00:00", "lang": "en", "topics": ["artificial-intelligence", "large-language-models", "ai-research", "natural-language-processing"], "entities": ["NeurOWL"], "alternates": {"html": "https://wpnews.pro/news/neurowl-an-llm-based-neural-symbolic-framework-for-incomplete-owl-ontology", "markdown": "https://wpnews.pro/news/neurowl-an-llm-based-neural-symbolic-framework-for-incomplete-owl-ontology.md", "text": "https://wpnews.pro/news/neurowl-an-llm-based-neural-symbolic-framework-for-incomplete-owl-ontology.txt", "jsonld": "https://wpnews.pro/news/neurowl-an-llm-based-neural-symbolic-framework-for-incomplete-owl-ontology.jsonld"}}