OntoInk: Interactive Ontology Visualization, Validation, and Reasoning
cs.AI, cs.IR
Submitted: 2026-10-05
Updated: 2026-10-05
Comments: Demo paper at ISWC 2026 Companion Volume, October 25 to 29, 2026, Bari, Italy
Code: https://github.com/ISE-FIZKarlsruhe/ontoink
Project page: https://ise-fizkarlsruhe.github.io/ontoink
License: http://creativecommons.org/licenses/by/4.0/
The gist: Ontology documentation, visualization, and validation are usually carried out with separate tools.
Terminology
Abstract
Ontology documentation, visualization, and validation are usually carried out with separate tools. This split workflow slows down development and makes knowledge transfer harder. We present OntoInk, an open-source MkDocs plugin that brings these activities together. Within a single documentation-as-code pipeline, OntoInk renders interactive ontology diagrams, validates instance data against SHACL shapes, runs OWL,DL reasoning, and supports inline Turtle editing. General-purpose diagram plugins for MkDocs cannot parse RDF, dereference IRIs, overlay SHACL constraints, or run OWL reasoning. Compared with standalone ontology visualization tools, OntoInk embeds interactive and editable diagrams directly into documentation pages. A live demo and source code are available at.
Related papers
- MAVEN-T: Reinforced Heterogeneous Distillation for Real-Time Multi-Agent Trajectory Prediction
- Model Discovery Agent: LLM-assisted Bayesian experiment design for data-efficient discovery of mechanistic world models
- Agents' Last Exam
- The Clinician's Veto: Navigating Trust, Liability, and Uncertainty in Autonomous AI Prescribing
- MindHelper: Closed-Loop Embodied Mental-State Reasoning for Precision Intervention
- Incumbent Advantage: Brand Bias and Cognitive Manipulation Dynamics in LLM Recommendation Systems