Abstract
Although many FAIR principles could be fulfilled by 5-star LinkedOpen Data, the successful realization of FAIR poses a multitudeof challenges. FAIR publishing and retrieval of Linked Data is stillrather a FAIRytale than reality, for users and machines. In thispaper, we give an overview on four major approaches that tackleindividual challenges of FAIR data and present our vision of a FAIRLinked Data backbone. We propose 1) DBpedia Databus - a flex-ible, heavily automatizable dataset management and publishingplatform based on DataID metadata; that is extended by 2) thenovel Databus Mods architecture which allows for flexible, uni-fied, community-specific metadata extensions and (search) overlaysystems; 3) DBpedia Archivo an archiving solution for unified han-dling and improvement of FAIRness for ontologies on publisher andconsumer side; as well as 4) the DBpedia Global ID managementand lookup services to cluster and discover equivalent entities andproperties.
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