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5 results for “ontology”
Governance beyond security: knowledge, context & ontology on the lakehouse
Databricks announces an expanded governance framework for AI on its lakehouse platform, positioning ontology, context, and knowledge management as foundational to responsible AI deployment — shifting focus from security-only controls to semantic and organizational alignment.
Published Sep 3, 2026 · Analyzed Sep 7, 2026
On Measuring Semantic Preservation in Legal Ontology Learning
Researchers introduce a new evaluation methodology to measure semantic loss during ontology learning—specifically how meaning degrades when converting unstructured legal text into structured representations—and demonstrate it on merger agreement analysis across six LLMs and three ontology methods.
Aug 14, 2026
Generative Ontology Induction: Domain-Agnostic Schema Discovery from Document Corpora Using Large Language Models
A new research paper introduces Generative Ontology Induction (GOI), a domain-agnostic LLM-based method for automatically extracting structured, typed ontologies from document corpora, validated across four diverse schemas with high structural coverage.
Jul 21, 2026
NeurOWL: An LLM-Based Neural-symbolic Framework for Incomplete OWL Ontology Reasoning
NeurOWL is a new neuro-symbolic framework that combines large language models and ontology embeddings to perform subsumption verification and abduction on incomplete OWL ontologies, enabling reasoning with missing axioms.
Jul 20, 2026
Bounded Morality: Defining the Space of Moral Computation
A new theoretical framework called 'Bounded Morality' reframes moral reasoning as a resource-constrained computational problem for both humans and AI, shifting focus from abstract ethical truth to feasible moral computation under limits.
Published Jul 2, 2026 · Analyzed Jul 5, 2026