Process-Level Integration for Linked Open Data Development Workflows: A Case Study

Dataset maintenance and development is a complex endeavor that necessitates the use of different systems through the dataset lifecycle. The semantic web succeeded in setting common standards that enable data interchange between these systems. Still, there is often a lack of interoperability and integration at the process level, indispensable to use different systems in a single, combined workflow. In this regard, we considered use cases concerning the interaction of dataset editors with content publication/fruition systems, which provide a linked data interface, and dataset catalogs, which meet the FAIR principle of findability and persistency. As a case study, we considered ShowVoc and OntoPortal as examples of these two classes of systems. Having committed to the collaborative knowledge editor VocBench 3, we contributed extensions for it that address the defined use cases. Evaluating our contributions, we identified some aspects of future improvement in the relevant subset of VocBench 3.