Tab2KGWiz: Interactive assistant for mapping tabular data to knowledge graphs
The reusability of research data is a key aspect of science development. According to FAIR principles, to make data reusable, it is required to make it interoperable. In this work, we present Tab2KGWiz, a software designed to enrich tabular data by adding contextual information formalized as Knowled...
| Autores: | , , , , |
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| Tipo de recurso: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2025 |
| País: | España |
| Institución: | Universitat de Lleida (UdL) |
| Repositorio: | Repositori Obert UdL |
| OAI Identifier: | oai:repositori.udl.cat:10459.1/468176 |
| Acceso en línea: | https://doi.org/10.1016/j.softx.2025.102221 https://hdl.handle.net/10459.1/468176 |
| Access Level: | acceso abierto |
| Palabra clave: | FAIR principles Interoperability Reusability Knowledge graphs |
| Sumario: | The reusability of research data is a key aspect of science development. According to FAIR principles, to make data reusable, it is required to make it interoperable. In this work, we present Tab2KGWiz, a software designed to enrich tabular data by adding contextual information formalized as Knowledge Graphs and based on ontologies. The metadata to automate the mapping of tabular datasets into Knowledge Graphs is generated interactively by the users under the guidance of Tab2KGWiz. It is then stored and exported into the YARRRML format, which can then be reused by tools that automate the mapping from tabular to semantic graph data based on the RDF standard. Tab2KGWiz is designed to help researchers enrich the metadata of their dataset by using an intuitive graphical user interface. The software is designed with a microservice architecture with a Java Spring back-end and a React front-end. Our application helps researchers and other data-sharing actors make their data easier to discover, access, and integrate, fostering collaboration and innovation. |
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