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Over the last decades the Web has evolved from a human-human communicationnetwork to a network of complex human-machine interactions. An increasingamount of data is available as Linked Data which allows machines to"understand" the data, but RDF is not meant to be understood by humans. WithJekyll RDF we present a method to close the gap between structured data andhuman accessible exploration interfaces by publishing RDF datasets ascustomizable static HTML sites. It consists of an RDF resource mapping systemto serve the resources under their respective IRI, a template mapping based onschema classes, and a markup language to define templates to render customizedresource pages. Using the template system, it is possible to create domainspecific browsing interfaces for RDF data next to the Linked Data resources.This enables content management and knowledge management systems to servedatasets in a highly customizable, low effort, and scalable way to be consumedby machines as well as humans.

Jekyll RDF: Template-Based Linked Data Publication with Minimized Effort and Maximum Scalability