Research Software is becoming a recognized first-class citizen to support and reproduce the results of scientific investigations. However, the link between software and their corresponding articles is often absent from Knowledge Graphs like Wikidata, thus making it challenging to retrieve implementations of existing papers. The purpose of this project is to present an approach to improve linking between articles and software.
This approach is implemented in SALTbot, the Software and Article Linker Toolbot, an implementation able to join scientific articles and the software they implement in any Wikibase instance. In addition, SALTbot will automatically describe software and article entities with metadata.
Furthermore, this project will also aim to link software in repository datasets with their corresponding articles in Wikidata, provide insights about the results of said linking and make indications about how to use SALTbot to increase visibility and dissemination of scientific articles and their software in knowledge graphs.
Research Software is becoming a recognized first-class citizen to support and reproduce the results of scientific investigations. However, the link between software and their corresponding articles is often absent from Knowledge Graphs like Wikidata, thus making it challenging to retrieve implementations of existing papers. The purpose of this project is to present an approach to improve linking between articles and software.
This approach is implemented in SALTbot, the Software and Article Linker Toolbot, an implementation able to join scientific articles and the software they implement in any Wikibase instance. In addition, SALTbot will automatically describe software and article entities with metadata.
Furthermore, this project will also aim to link software in repository datasets with their corresponding articles in Wikidata, provide insights about the results of said linking and make indications about how to use SALTbot to increase visibility and dissemination of scientific articles and their software in knowledge graphs. Read More