Leveraging Linked Data Fragments for enhanced data publication: the Share-VDE case study

Abstract

In big data-driven environments, accessing, querying, and processing vast datasets efficiently is challenging. Linked Data Fragments (LDF) have emerged as a promising paradigm for addressing these challenges. They provide a distributed and scalable approach for publishing and serving Linked Data. As part of the Share-VDE initiative, we developed a set of Web APIs that adopt Linked Data Fragments and provide the following benefits: real-time RDF generation and publication, on-demand ontology mapping, and multi-provenance management.We aim to showcase our implementation efforts in enabling real-time, multi-provenance, and multi-mapping RDF publication by introducing an RDF API layer built upon the innovative concept of Linked Data Fragments.