Turn relational Data into a Knowledge Graph with no-code

Ontopic Studio is a user-friendly mapping editor which allows you to focus on business concerns and knowledge rather than on SQL queries and other technicalities when designing knowledge graphs.

Using and strictly complying with open standards, Ontopic Studio’s core engine combines top-level research with best practices to help you design large high-quality mappings productively.

Why Choose Ontopic Studio for Mapping Data?

Onboard quickly there is no syntax to learn, no needs to write SQL queries. Ontopic Studio offers a gentle learning curve.
Experience productivity - With Ontopic Studio you stay focused on the data and the domain knowledge instead of being distracted by the technicalities. Large mappings are not overwhelming anymore, as you can search efficiently through them to get the picture of what is in the Knowledge Graphs. You can also test your mapping immediately, without moving any data.
Deploy on any platform Ontopic Studio produces mappings and ontologies in open standards, which are supported by many runtime platforms. You are free to choose between triplestores and Virtual Knowledge Graph engines.
Integrate structured and semi-structured data Ontopic Studio leverages data virtualization platforms to access multiple data sources at the same time, in whatever original format they might be (e.g. JSON, CSV or relational).

A Mapping Editor for Large Real-world Data Integration

We are convinced that mapping is a vastly superior alternative to manual ETL scripts.

The Mapping Editor is the central piece of Ontopic Studio’s editing experience. It was designed in order to make large integration projects of real-world data with hundreds of mapping entries approachable.

The flexible search functionality allows you to quickly navigate through large mappings.

Screenshot of Ontopic Studio while mapping a class to data in the relational data base

Immediately test your Mapping

Screenshot of Ontopic Studio showing the SPARQL console for querying the integrated data

To help you maintain the flow and reduce distractions, Ontopic Studio provides you with a query endpoint, together with a query console, so that you can test your mapping immediately.

Use Your Data to Guide You

Pragmatic data integrators know that it is important to focus on the real data in order to keep high productivity, maintain acceptance for one’s work and not to get lost by some unproductive sideway. Ontopic Studio gives you a quick overview on the real data in most situations.

Screenshot of Ontopic Studio while creating a new property in the data model

Design Knowledge Graphs in the No-code Way

All too often tools target people with a background in Knowledge Representation and Semantic Web Technologies. Ontopic Studio is different. With the no-code approach anybody can learn faster and avoid beginner's mistakes. The terminology is accessible and every feature had to demonstrate its usefulness before it was integrated into Ontopic Studio.

The result is an editing environment that is highly accessible and productive.

Based on Open Standards and Open Source, like RDF, RDF Schema, R2RML and SPARQL

The core engine of Ontopic Studio is Ontop, the leading open source engine for Virtual Knowledge Graphs, to which Ontopic contributes regularly. This engine combines top-level research with industry best practices.

Ontop and Ontopic Studio integrate very well with other products: we firmly believe in the strict respect of standards. Ontopic Studio can be used as a whole or for specific data integration tasks. It is:

a unique editing environment for R2RML mappings
an easy-to-use ontology editor for RDF Schema and Web Ontology Language tailored to data integration

Ontopic Studio follows the standards of the W3C related to the creation of RDF-based Knowledge Graphs (RDF - Resource Description Framework) which are also queryable with the SPARQL querying language.

Ready for Data Virtualization

The mappings generated by Ontopic Studio are perfectly in line with the requirements of data virtualization. They can be employed by most Virtual Knowledge Graph engines. Needless to say, it works with all Ontop-based solutions.

Alternatively, the mappings can be used for materializing the Knowledge Graph into the triplestore of your choice.

Register for a demo of Ontopic Studio

Ready to do mapping with a no-code approach? Let us help you. Get a demo access: