Visualizing Wikidata: The RAWGraphs 2.0 Approach
Michele Mauri, Tommaso Elli
Politecnico di Milano
内容与影响
Wikidata represents an incredible revolution in open knowledge curation, yet its complexity and structure often limit its visibility and use, particularly when it comes to data visualization. RAWGraphs 2.0 addresses this challenge by providing an intuitive, template-based approach for translating Wikidata’s SPARQL query outputs into meaningful visualizations. Drawing on data visualization literature, RAWGraphs employs visualization templates: conceptual and technical schemas that identify visual properties of graphical items and bind them to data. With direct SPARQL integration, RAWGraphs supports transparent, reproducible visual exploration, highlighting data quality, biases, and structural insights within Wikidata.
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学科主题
计算机 / AIData Visualization and Analytics
Research Data Management Practices · Advanced Graph Neural Networks
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