Next-Level Knowledge Graph Experience for Humans and Agents

After an 18-month development cycle, AtomGraph releases LinkedDataHub 5

July 2, 2025

LinkedDataHub wraps any standards-compliant SPARQL store with a declarative UI, graph-native navigation and a one-command Docker stack. Version 5 sharpens the editing workflow, upgrades the client engine, and lays groundwork for agent Knowledge Graph management.

Who is LinkedDataHub for?

Data teams and knowledge engineers who want to build interactive applications from RDF data without custom web development. If you're working with knowledge graphs and need to make them accessible to non-technical stakeholders, LinkedDataHub eliminates the development bottleneck.

Organizations curating RDF Knowledge Graphs — from libraries digitizing archives to enterprises modeling business knowledge. Whether you're publishing Linked Open Data or managing research collections, LinkedDataHub makes your graphs navigable and collaborative.

Developers familiar with SPARQL and RDF who need rapid prototyping of graph-driven applications. Focus on data modeling while LinkedDataHub handles the presentation layer, going from SPARQL endpoint to interactive application in minutes.

First-principles architecture

LinkedDataHub is essentially implemented as a large function:

Webpage = XSLT(SPARQL(Triplestore))

This single function underlies every screen and API call. SPARQL projects the data, XSLT renders renders it in the browser. These are time-tested declarative technologies that are the right tools for this job and will outlive any web framework trends. They are the foundation a future-proof, standards-based architecture.

What’s new in v5?

AtomGraph has released version 5 of its LinkedDataHub platform with the help of NLNet funding. Its main highlights include:

  • Block-centric content model — every piece of webpage content is now an RDF-defined block with its own URI, so you can compose rich interactive documents from public or private Linked Data and SPARQL sources.
  • Automatic document hierarchy — post any RDF graph; LinkedDataHub attaches it to the document hierarchy automatically.
  • Refined editing flow — document creation UI is now separated from resource creation UI. Editing forms are now resource-scoped rather than document-scoped. RDF data can now be imported by simply dragging files onto the document.
  • Dual-phase rendering — server-side stylesheet renders XHTML+RDFa, then client-side stylesheet running on SaxonJS 3 hydrates the blocks. It also handles browser events using the new promise-based async callbacks.
  • Developer experience — support for multi-arch Docker images, auto-generated WebID certs as well as support for conditional HTTP requests.

With roots in Linked Data projects at NXP Semiconductors and Denmark's Royal Library, LinkedDataHub is battle-tested across enterprise and public-sector deployments — see our full list of case studies.

What you get out-of-the-box

  • Low-code app development — transform your graph into an application without imperative code.
  • Quick and simple deployment — run locally, on-prem or in the cloud via Docker.
  • Collaborative data management — explore and edit RDF through a user-friendly interface.
  • Vocabulary and ontology authoring — model domain knowledge consistently in RDF.
  • Enterprise-ready security — WebID-TLS and OAuth authentication, plus SPARQL-driven authorization for fine-grained access control.

Built on open standards, LinkedDataHub avoids vendor lock-in by supporting any SPARQL-compliant triplestore backend. Your application data remains portable across different triplestore vendors and other RDF systems.

Since LinkedDataHub's APIs are generic, customising applications only requires frontend changes. That is done by extending XSLT stylesheets — often by overriding just a few template rules while reusing platform's defaults.

All of this and more are part of the open-source codebase released under the Apache 2.0 license.

What’s next?

  • MCP server — integrate LinkedDataHub with agentic data workflows and manage it via natural language. Stay tuned for updates! 🚀
  • LinkedDataHub Cloud — managed self-service FAIR dataspaces, no DevOps needed.
  • AWS SigV4 authentication support — for compatibility with Amazon Neptune triplestore backends
  • New design system and improved graph layout.

Claude manages documents and content blocks on LinkedDataHub using MCP tools

Get started!

Explore the demo applications or checkout the documentation to get started with LinkedDataHub within minutes.

Join our community of 500+ developers building knowledge graph applications!