2023 LD4 Conference on Linked Data

Within the last couple of years, interest within Galleries, Libraries, Archives, Museums, and Special Collections (GLAMS) has grown in regards to Wikidata contributions and consumption. Overtime, Wikidata has become a large multilingual, crowdsourced, public knowledge graph of high quality general facts and a central hub of persistent identifiers. However, there is still a barrier for those who can not write SPARQL to query the graph, let alone visualize or make sense of such a giant cloud of data. One solution to this problem is a graph-based discovery interface that extracts Wikidata subsets and presents these nodes and edges into frames of interest. In our case, the frame of interest is the GLAMS community.

In this talk the authors present wikiframeVG (Wikiframe Visual Graph), an open-source community initiative and tool which helps Wikidata editors and users explore knowledge generated from organized Wikidata sprints. wikiframeVG adopts a community driven, SPARQL template-based approach towards Wikidata graph exploration. The authors will describe the application architecture, customizable SPARQL templates and themes, and conclude with a demonstration of the user interface. During the QA, the presenters encourage feedback and invite community members to participate in its further development and shared governance.