One of the major strengths of the linked-data knowledge graph approach is its ability to decentralize the process of data FAIRification. By adhering to semantic models (FAIR I1 and I2) and community standards (FAIR R1. wider adoption of such an approach by the scientific community. Continuous efforts are being made to lower that barrier. For example, LinkedPipes-ETL took a low-code visual approach by providing a graphical user interface that encapsulates the technical details of the RDF conversion pipeline . Moreover, GraphDB is a triple store that provides a rich user interface that allows users to load their RDF data, develop and save their SPARQL queries and visualize the results. Furthermore, other works focus on developing methods to generate SPARQL queries from natural language prompts and following a question-answering approach to simplify user access to knowledge graphs . Finally, more efforts must be made to bring simplicity to the Semantic Web lowering the barrier to use and pushing it towards achieving mainstream adoption.