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A Streamlit application for building, editing, and managing OWL ontologies

Project description

OrionBelt Logo

OrionBelt Ontology Builder

A browser-based ontology workbench built with Streamlit and rdflib

GitHub stars Version 1.8.0 Python 3.10+ License: BSL 1.1

Streamlit rdflib OWL-RL vis-network

Docker Hub Docker pulls Image size

Try it now: orionbelt.streamlit.app

OrionBelt Ontology Builder Screenshot


What is this?

OrionBelt lets you build, edit, and maintain OWL ontologies and SKOS vocabularies in your browser. No Java, no desktop install - just pip install and go.

It works with OWL ontologies (classes as owl:Class, properties as owl:ObjectProperty / owl:DatatypeProperty). Pure RDFS vocabularies like schema.org that use rdfs:Class and rdf:Property are not currently surfaced in the Classes / Properties panels.

It's not trying to be Protégé. It's meant for people who want something lighter: a workbench that's easy to pick up, hard to break things with, and good enough for real ontology work.

What it's good at

Not losing your work. Every change creates an undo checkpoint. Deletes show you what will break before you confirm. Imports show a diff so you can review before applying.

Keeping your ontology clean. Validation catches orphan classes, duplicate labels, domain/range mismatches, missing annotations, and SKOS-specific issues like broader/narrower cycles. Not just "you have warnings" but "here's what's wrong and where."

Moving fast in large ontologies. Global search across everything. Usage/backlink views for any resource. Click a node in the graph and jump straight to the editor. Bulk add/edit/delete so you're not filling out forms one entity at a time.

Working with others. Merge-aware imports with three strategies (replace, merge, merge-overwrite). Conflict detection. Prefix reconciliation. Change reports you can download. You can actually review what an import would do before committing it.


Features

Ontology editing

Full CRUD for classes, object/data properties, individuals, restrictions, relations, and annotations. Hierarchy management, rename with reference updates, and tabbed editing per entity type.

Bulk operations

Every entity page has a Bulk Operations tab:

  • Add - paste names (one per line) or CSV with headers like Name, Label, Parent
  • Edit - spreadsheet view of all entities with editable labels, comments, parents
  • Delete - multi-select and remove in one go

Annotations have their own bulk editor with per-row add/delete actions.

SKOS vocabularies

A dedicated page for building controlled vocabularies:

  • Concept schemes with concept counts
  • Concepts with prefLabel, definition, broader/narrower (inverses auto-managed)
  • Hierarchy tree view, filterable by scheme
  • Full SKOS relation support (broader, narrower, related, all match types)
  • SKOS validation: missing prefLabels, orphans, duplicate labels, cycles

Templates

Five starter templates you can merge into or replace your current ontology: Organization, Product Catalog, Event, Person/Contact, and SKOS Thesaurus. Each is a valid Turtle snippet with a preview before you apply it.

Upper Ontologies

Start from a professionally built upper ontology instead of redefining foundational concepts for every project. Two options ship in the box:

  • gist by Semantic Arts — a minimalist upper ontology covering ~100 classes (Event, Person, Organization, Agreement, Specification, etc.) and ~100 properties. Select which modules to load (Core, RDFS Annotations, SubClass Assertions, Media Types) and merge or replace your current ontology.
  • gUFO (gentle UFO) — a lightweight OWL implementation of the Unified Foundational Ontology, suitable for OntoUML-style conceptual modeling with kinds, roles, phases, events, situations, qualities, and relators.

Reference Ontologies

A separate tab for importing widely-used domain and reference vocabularies. The loader supports both bundled vocabularies (instant) and on-demand downloads (verified against a pinned SHA256 and cached on disk). Currently ships with PROV-O, FOAF, and GoodRelations — all bundled.

Import & export

Format Extension Import Export
Turtle .ttl
RDF/XML .owl, .rdf
N-Triples .nt
N3 .n3
JSON-LD .jsonld

Imports on an empty ontology go straight through. Otherwise you get a review panel: diff summary, conflict table, prefix changes, import mode selector, and a downloadable change report.

Validation & reasoning

  • Missing labels, domains, ranges
  • Orphan classes, duplicate labels, domain/range mismatches
  • Untyped individuals
  • SKOS checks (see above)
  • RDFS and OWL-RL reasoning via owlrl

Visualization

Interactive vis-network graph with class filtering, configurable node limits, click-to-navigate into the editor, hierarchy tree view, and statistics charts.

Safety

  • Full undo/redo with labeled checkpoints
  • Delete impact analysis before confirmation
  • Bulk operations create a single undo point
  • Namespace prefix management from the Dashboard

Quick Start

# Clone and install
git clone https://github.com/ralforion/orionbelt-ontology-builder.git
cd orionbelt-ontology-builder
pip install -r requirements.txt

# Or install from PyPI
pip install orionbelt-ontology-builder

# Run
streamlit run app.py

Open http://localhost:8501

Run as a command

Installing the package also provides an orionbelt-ontology-builder command that launches the app for you, so there is no need to call streamlit run yourself:

# Install as an isolated tool and run it (uv or pipx)
uv tool install orionbelt-ontology-builder
orionbelt-ontology-builder            # boots the app, opens the browser

# Or run it one-off without installing
uvx orionbelt-ontology-builder
pipx run orionbelt-ontology-builder

Any extra arguments are forwarded to Streamlit, e.g. orionbelt-ontology-builder --server.port 8502.

Run as a native desktop app

Prefer a native window over a browser tab? Install the optional desktop extra and use the orionbelt-ontology-builder-desktop command. It runs the app in a native window (via streamlit-desktop-app, pywebview + a real Streamlit server), so there is no browser tab to manage and no manual start/stop of the server:

pip install "orionbelt-ontology-builder[desktop]"
orionbelt-ontology-builder-desktop    # opens a native window

This is fully opt-in: the plain install and the orionbelt-ontology-builder command above are unchanged.

Run with Docker

A prebuilt image is published to Docker Hub. No local Python setup required:

docker run --rm -p 8501:8501 ralforion/orionbelt-ontology-builder

Then open http://localhost:8501. Use :1.8.0 to pin a specific version instead of latest.

To build the image yourself from a checkout:

docker build -t ralforion/orionbelt-ontology-builder .
docker run --rm -p 8501:8501 ralforion/orionbelt-ontology-builder

The container runs Streamlit headless on 0.0.0.0:8501 as a non-root user.

Upload size limit

Imported files are capped at 200 MB by default (Streamlit's maxUploadSize). To import larger ontologies, raise the limit in .streamlit/config.toml:

[server]
maxUploadSize = 1000   # MB

or pass it at launch:

streamlit run app.py --server.maxUploadSize 1000

Parsing happens in memory, so the practical ceiling is the host machine's available RAM rather than this setting. The hosted demo is RAM-limited and keeps the 200 MB default; raise the value only when self-hosting with enough memory.


Pages

Page What it does
Dashboard Metadata, base URI, statistics, prefix management, validation
Classes Class hierarchy, CRUD, bulk operations
Properties Object & data properties, CRUD, bulk operations
Individuals Instance management, property assertions, bulk operations
Relations Class, property, and individual relations
Restrictions OWL restrictions and cardinality constraints
Advanced Advanced OWL features
Annotations RDFS, SKOS, Dublin Core annotations with bulk editing
SKOS Vocabulary Concept schemes, concepts, hierarchy, SKOS validation
Import / Export File import with merge review, export, new ontology, templates
Source Live Turtle source view of the ontology
Validation Ontology validation and OWL reasoning
Visualization Interactive graph (OWL + SKOS), hierarchy tree, statistics

Project structure

orionbelt-ontology-builder/
├── app.py                              # Streamlit Cloud entry point (delegates to package)
├── ontology_manager.py                 # Backward-compat shim
├── templates.py                        # Backward-compat shim
├── orionbelt_ontology_builder/         # The actual installable package
│   ├── app.py                          # Streamlit UI
│   ├── ontology_manager.py             # Core OWL/SKOS engine (rdflib)
│   ├── templates.py                    # Built-in templates / upper / reference ontologies
│   ├── samples/                        # Bundled gist, gUFO, FOAF, PROV-O, GoodRelations, …
│   ├── lib/                            # Frontend libraries (vis-network, Tom Select)
│   ├── assets/                         # Logos and screenshots
│   └── favicon.png
├── pyproject.toml                      # Project metadata
└── tests/                              # pytest suite

Dependencies: streamlit, rdflib, owlrl, networkx, pyvis.


Companion Project

OrionBelt Analytics

An ontology-based MCP server that analyzes relational database schemas (PostgreSQL, Snowflake, Dremio) and generates RDF/OWL ontologies with embedded SQL mappings. Together with the Ontology Builder, they form a toolkit for ontology-driven data modeling.

License

Copyright 2025 RALFORION d.o.o.

Licensed under the Business Source License 1.1. The Licensed Work will convert to Apache License 2.0 on 2030-03-30.

By contributing to this project, you agree to the Contributor License Agreement.


RALFORION d.o.o.

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