In recent years, interest in galleries, libraries, archives, museums, and special collections
(GLAMS) has grown in Wikidata and Wikibase contributions and consumption. Over time,
Wikidata has become a large multilingual, crowdsourced, public knowledge graph of high-quality general facts and a central hub of persistent identifiers. However, there remains a
barrier for those who lack technical or domain expertise, knowledge on how to write SPARQL
for graph query or construction, 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 this initial prototype, the
frame of interest shall focus on the GLAMS community. Here, we propose Wikiframe Visual Graph
(WikiframeVG) a tool which helps Wikidata editors and general browsers visualize and explore
knowledge generated from organized Wikidata sprints. WikiframeVG is an ecosystem built upon
open source technologies that provides SPARQL templates, property mappings, and
configuration files allowing users a no-code approach towards Wikidata graph exploration.
In this paper we define the Wikiframe end user and project scope (Section 2). Then describe
Wikiframe templates (Section 3), its data architecture (Section 4), site architecture (Section 5),
and introduce the user interface, including data previews, search techniques and graph
explorations (Section 6). We then present a discussion (Section 7) and end with conclusions and
final thoughts (Section 8).
WikiframeVG Site: https://wikiframe.library.unlv.edu
Wikiframe code base: https://github.com/UNLV-Libraries/wikidata-discovery-project
