LinkedDataHub: A Low-Code Application Platform for RDF Knowledge Graphs

Martynas Jusevicius

Keywords: rdf, sparql, linked data, semantic web, knowledge graph, low code, declarative

TL;DR: LinkedDataHub turns RDF Knowledge Graphs into interactive web applications without requiring any custom coding.

Abstract:

Knowledge Graphs have become essential for representing structured, linked data across domains, but transforming RDF datasets into usable applications typically requires custom development efforts that result in duplicated work and inaccessible tooling for non-experts. We present LinkedDataHub, a general-purpose, low-code platform for interacting with RDF data through web interfaces.

LinkedDataHub's architecture follows the first principle of Webpage = Transformation(Projection(Dataset)), implemented using SPARQL to project RDF data and XSLT 3.0 to transform results into XHTML+RDFa. This approach creates a thin façade over standards-compliant SPARQL Graph Stores while providing powerful frontend capabilities with minimal overhead.

The platform includes comprehensive features for browsing, querying, and managing Linked Data, including a SPARQL query editor, multiple visualization options, graph-native navigation, structured RDF editing, and user authentication. LinkedDataHub supports both non-technical users through its default interface and developers through standard XSLT customization and HTTP-based APIs.

LinkedDataHub has been successfully deployed across enterprise and public-sector contexts, including enterprise data hubs, open data portals, and cultural heritage systems. Released under Apache 2.0 license, LinkedDataHub provides a standards-based, open-source foundation that bridges the gap between RDF datasets and real-world Knowledge Graph applications.

Submission Type: Software talk

Submission Number: 5