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OntoBroker

The Enterprise Reasoner for Explainable Ontologies

Meet OntoBroker

OntoBroker (OB) is an industrial-strength reasoning engine designed for active ontologies. Unlike many inference engines that remain stuck in academic prototypes, OntoBroker has been refined through decades of real-world enterprise deployments since the early 2000s. At its core, it runs the ObjectLogic stack—the successor to F-Logic 2—delivering a proven combination of expressivity, performance, and explainability for knowledge-driven systems.

Turn Spreadsheets Into…

Knowledge Capture

Knowledge capture and rule authoring by subject-matter experts

Ontology Debugging

Interactive querying, validation, and debugging of enterprise ontologies

Explainable Apps

Building explainable, spreadsheet-driven apps that leverage OntoBroker reasoning

Core Capabilities of OntoBroker

Design rich, expressive ontologies with support for OWL, RDF, and SHACL. Model complex domains in a way that machines and people can understand.

Declare concepts, rules, and facts via =OB.DeclareAxioms(...); results and status messages are returned directly to cells.

Apply built-in inference engines and rule-based logic to uncover hidden relationships, validate consistency, and ensure compliance with business and regulatory requirements.

Empower teams to work together in real time with version control, annotations, and conflict resolution. Designed for both domain experts and technical users.

Run locally or in the cloud with flexible deployment options. Built to handle enterprise-scale datasets and mission-critical use cases.

 

Leverage extensions, APIs, and integrations with IDEs like Visual Studio Code for streamlined development, automation, and customization.

Hybrid AI for Knowledge-Driven Systems

Why OntoBroker Powers Explainable AI

Why Hybrid AI is different

The Challenge

Most AI today is a black box. Large Language Models are powerful but opaque – they hallucinate, they can’t explain their answers, and they raise compliance concerns.

Our Solution

semafora takes a different approach. Our Hybrid AI platform fuses LLMs with symbolic reasoning. This means free text is understood in context – and every output is translated into explainable, rule-based logic.

Your Advantage

Powerful AI you can actually trust, because every step is verifiable and compliant by design.

✦ Process

How it works

Connect

Create a Manager to one or more OntoBroker servers and bind named ontology objects in the workbook.

Model

Declare axioms/rules using ObjectLogic via worksheet functions (with syntax-colored editing on F2).

Query

Execute queries that spill to dynamic arrays for large, automatically sized result tables.

Automate

Call Java/Python helpers where needed; intermediate objects appear as named references in cells.

Feature Updates

What´s new

Additions
In-Cell VS Code Editing

Press F2 to open the active cell content in VS Code; save and exit to sync changes back into the sheet.

Google Analytics

The F2 editor highlights ObjectLogic constructs for faster reading and fewer mistakes.

Still have a question? Browse documentation or submit a ticket.

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