Streamline Knowledge Graph Creation

We are pleased to announce the new release of Ontopic Studio, the standard-based no-code knowledge graph building environment. We focused on improving the experience of some frequently reported user journeys. With the latest release, you can materialize your knowledge graph directly into an RDF file, run long-running tasks asynchronously, and document your project better.

Materialization to RDF

The knowledge graph creation environment gives users an even more complete and productive experience. This feature enables transforming the mapped data sources into an RDF file with a single click directly from Ontopic Studio. The resulting file can be imported into the RDF graph database of your choice.

The knowledge graph is materialized as Turtle, RDF/XML, N-Triples, N-Quads, TriG, and JSON-LD formats, optionally compressed as zip or gzip.

Dialog showing materialization options in Ontopic Studio

Comments

While collaborating, colleagues need to know more about the context of the mapped relationships. The new comment feature will make collaboration easier by enabling the possibility to leave comments on each mapping entry.

Asynchronous tasks

Ontopic Studio can now run tasks asynchronously so that you are not blocked by long-running tasks. Continue working, you will be notified of the progress of asynchronous tasks that are ongoing and completed.

Screenshot that shows the list of asynchroneously run tasks.

Screenshot showing the an alert that there are no unique keys in this lens

Missing unique constraint alert

Missing unique keys is probably the most common reason for inefficient queries to the sources. The new version alerts the user about possibly missing unique constraints, adding better guidance for mapping development. A better mapping results in more optimized virtual knowledge graphs that answer queries faster.

Maintain mappings when dropping ontology elements

Mapping entries can be retained even after the referenced class or property has been removed. This is especially useful, if you use a separate product to edit ontologies. A complete update of such an ontology becomes trivial, by simply removing the old classes and importing the fresh version. This also makes it easy to adapt to your particular workflow.

A snippet showing the alert that the class, this mapping entry refers to, was dropped.

A comparison of a list with non talkative IRIs and te list of the same entities, but using the labels

Optional display of labels instead of IRIs

The identifiers of classes and properties are not always very descriptive. This is true for some very popular ontologies, such as the Basic Formal Ontology (BFO) and the Open Biological and Biomedical Ontology Foundry Ontologies (OBO). With the latest version of Ontopic Studio, the user can now choose how the ontology is displayed.

A first class citizen on Apple Silicon

Users of recent Apple Macs will experience a huge boost in performance, thanks to the native ARM64 Docker images of Ontopic Studio.

Want to turn your data into a knowledge graph?

Do it in a fraction of the time and resources with Ontopic Studio.

Ontopic Studio is available in several editions. Check out which one is right for you.

See Ontopic Studio Editions