Introducing Graph.Build Studio v2.1

RDF Data Synthesization, Enhanced Features for LPG, and Model Import / Export Capabilities

We're excited to announce the release of graph.build Studio v2.1, packed with powerful new features and key improvements to enhance your experience. This release builds on the foundation we laid in version 2.0, making the Studio even more intuitive and capable for graph modelling and data transformation workflows. Let's dive into what’s new!

What’s New in Graph.Build Studio v2.1?

1. Importing and Exporting of User-Created Models and Ontologies

Version 2.1 introduces a highly requested feature: the ability to import and export models and ontologies/schemas created within the application. This functionality allows for seamless collaboration across teams, quicker integration into larger workflows, and easy backups of your valuable work. Whether you're building complex ontologies for semantic graphs or designing schemas for property graphs, transferring your work has never been easier.

2. Property Graph-Specific UX Improvements

We’ve listened to feedback and made significant improvements to the user experience for Property Graph users. We’ve introduced more specific language to better align with property graph terminology, making it easier to work within the context of your graph models. Additionally, we’ve refined the layout to not only enhance usability but also create a sense of familiarity for users already accustomed to property graph workflows. These improvements ensure a smoother, more efficient, and intuitive experience while building and managing your labelled property graphs.

3. RDF Data Synthesizer Integration

With this release, we’ve integrated an RDF data synthesizer into the platform. This tool allows you to generate sample RDF data based on your semantic ontologies. It’s perfect for testing and experimenting with your models in real-world scenarios before deploying them. Whether you’re working with semantic web technologies or need to verify your RDF schemas, this addition brings a new level of flexibility to your modelling toolkit.

4. Bug Fixes and Stability Improvements

As with every release, we’ve dedicated time to fixing bugs and improving the overall stability of the application. We want the Studio to be as reliable as it is powerful, so expect fewer interruptions and a more polished experience.

Building on Version 2.0

The journey to 2.1 began with our complete rebuild of the Studio in version 2.0. The previous major release introduced a completely revamped UI, making the application more modern and user-friendly. In addition to this, we brought new features such as:

• The ability to create ontologies (for semantic graphs) and schemas (for labelled property graphs), giving you more control and precision in your graph modelling.
• A feature where ontologies and schemas can inform or restrict your transformation model designs, ensuring accuracy and consistency across your projects, especially for those in large organisations.
• The introduction of a new tabular interface that streamlined the process of adding multiple properties at once, making it faster and easier to populate your models with relevant data.

What’s Next?

We’re committed to continually enhancing the Studio and Transformers, and we can’t wait to show you what’s in store for future releases. Your feedback plays a crucial role in shaping the product, so please keep sharing your thoughts and ideas with us.

To try out the latest features, you can download the latest version from AWS Marketplace or Docker Hub. If you’d like to explore these updates in more detail, you can request to view the latest documentation or contact us for a demo - we’d be happy to provide a deeper dive into how graph.build can transform your workflow.

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About the Author

Russell Waterson is a Lead Software Engineer at graph.build, specialising in full-stack development with a focus on Knowledge Graphs, Linked Data, and the Semantic Web. With extensive experience in frontend, backend, and cloud technologies, Russell plays a key role in designing and implementing graph-based solutions that help organisations manage and transform their data more effectively.