OWL to SQL Ontologies Upgrade

Solution

Transform
OWL Ontologies
into Powerful
SQL Ontologies

Timbr enables organizations to import existing OWL ontologies and convert them into SQL-native ontologies, making advanced semantic knowledge available to everyone across the data stack. 

By bridging OWL and SQL, Timbr breaks down technical barriers and puts ontological intelligence directly into the hands of analysts, engineers, and business users.

BEHIND THE SOLUTION

Traditional OWL ontologies are powerful but isolated, limited to SPARQL experts, triplestore platforms, and a small subset of technical users. Timbr changes that by ingesting OWL definitions and relationships and transforming them into SQL ontologies, natively usable in standard SQL queries, BI tools, notebooks, and AI pipelines.

DEMOCRATIZE YOU OWL INVESTMENTS

Timbr integrates with triplestores and ontology management tools like Protégé, TopBraid, and Stardog, allowing you to import OWL models and activate them directly over your cloud data platform, whether Databricks, Snowflake, or Microsoft Fabric, with no translation layer or duplicated logic.

Challenges

OWL Ontologies Are Powerful, but Underused?
Many enterprises have invested in OWL models that sit unused due to limited accessibility. Without SQL support, the business logic encoded in OWL remains siloed and disconnected from core analytics.
SPARQL Expertise Limits Adoption
OWL ontologies typically require SPARQL or specialized triplestores, limiting usability to semantic web experts. This prevents wider adoption across SQL-savvy teams and traditional data tools.
Fragmented Knowledge Across Platforms
When ontologies live separately from data and BI environments, teams duplicate logic and miss out on governed, reusable models that could unify operations across the stack.

Why Timbr

Import OWL. Customize, Expand and Query in SQL.
Timbr lets you import OWL ontologies, including classes, properties, hierarchies, and restrictions, and transform them into SQL-native semantic models. No data duplication. No separate environment. Just seamless reuse of existing knowledge structures across your ecosystem.
Democratize Semantic Knowledge
Once OWL ontologies are converted, they’re fully queryable using standard SQL. Analysts, engineers, and even LLMs can access complex relationships, hierarchies, and rules without learning SPARQL or re-implementing logic.
Align Governance and Reasoning with the Data Stack
Timbr brings OWL-defined governance and structure into your operational analytics environment. Models become part of the same semantic layer powering your BI, dashboards, notebooks, and GenAI use cases.

Impact

Unleash Underutilized Knowledge Assets
Timbr turns previously siloed OWL models into active, reusable business logic, dramatically increasing their ROI and reach across the enterprise.
One Semantic Model Across All Users
By transforming OWL ontologies into SQL ontologies, Timbr makes semantic understanding natively available to data engineers, analysts, domain experts, and AI systems—no translation required.
Accelerate AI and BI with Governed Logic
From AI copilots to governed BI reports, every layer of the data stack can now benefit from a single source of semantic truth—rooted in your existing OWL knowledge and delivered at SQL performance.

Timbr Product Overview

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Model a Timbr SQL Knowledge Graph in just a few minutes and learn how easy it is to explore and query your data with the semantic graph

Model a Timbr SQL Knowledge Graph in just a few minutes and learn how easy it is to explore and query your data with the semantic graph

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