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LinkedDataHub: Democratizing Linked Data consumption and reuse

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LinkedDataHub: Democratizing Linked Data consumption and reuse
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17
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CC Attribution - ShareAlike 4.0 International:
You are free to use, adapt and copy, distribute and transmit the work or content in adapted or unchanged form for any legal purpose as long as the work is attributed to the author in the manner specified by the author or licensor and the work or content is shared also in adapted form only under the conditions of this
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LinkedDataHub is both an RDF-native content management system and a low-code application platform with a generic, declarative, W3C standards-based architecture. It enables library professionals to consume Linked Data resources by cloning them to local dataspaces, composing rich documents by embedding them, authoring RDF resources, and visualizing SPARQL results as paginated views, charts, maps, and graphs. RDF and Linked Data provide an excellent foundation for implementing FAIR principles, and LinkedDataHub provides a uniform data “canvas” for them that is both composable and extensible. Federated by design, it facilitates collaborative LOD consumption and reuse through end-user interfaces and read/write APIs. As an open-source project, LinkedDataHub empowers library communities to build interoperable, federated knowledge infrastructures. Within a LinkedDataHub dataspace, end-users can create documents (stored as named graphs), compose content from RDF-defined blocks while editing resources through an intuitive UI. Developers can customize layouts by reusing default XSLT stylesheets and overriding specific component templates. Implemented as a thin facade above a SPARQL Graph Store, this standards-based architecture democratizes both consumption and publishing of Linked Data while also enabling RDF-native, declarative application building. The presentation will showcase LOD reuse across federated cultural heritage institutions using LinkedDataHub.