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

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Leveraging Linked Data Fragments for enhanced data publication: the Share-VDE case study
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CC Attribution - ShareAlike 3.0 Germany:
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Share-Virtual Discovery Environment (SVDE, wiki site) is a library-driven initiative that brings together in a shared, BIBFRAME-based discovery environment the bibliographic catalogs and authority files of a growing number of leading academic and national libraries from across North America, Europe and globally. In (big) data-driven environments, accessing, querying, and processing vast datasets efficiently and flexibly is challenging. Linked Data Fragments (LDF) have emerged as a promising paradigm to address these challenges by providing a distributed and scalable approach for publishing and serving Linked Data. As part of the SVDE Labs activities, we developed a set of web APIs that adopt that approach and provide several benefits: real-time RDF generation and publication, on-demand ontology mapping, and multi-provenance management. The Linked Data Fragments paradigm also addresses one challenging point in the infrastructure: It no longer needs a dedicated RDF Store. The API set provided by the system (GraphQL, REST, and SPARQL) uses a centralized knowledge base implemented using a hybrid approach composed of a relational database and an inverted-index-based search engine. A working prototype will be used during the presentation. However, the overall work is under development as we follow two parallel “investigation paths”: the first using a plain RDBMS and the second using a NoSQL storage. As part of the presentation, we will discuss technical details and the architecture/infrastructure by examining the lessons learned and the challenges. The ongoing development will be applied to the linked data underlying SVDE discovery portal. It will benefit the other interconnected initiatives that are part of the broader Share Family linked data ecosystem.