Analyzing, visualizing and improving Wikidata using the Wolfram Language
Wikidata aims to provide an identifier and associated data for every concrete or abstract concept. This ambitious goal will facilitate many new use case, but also poses challenges in terms of data completeness and quality.
The Wolfram Language (WL) is an easy to learn programming language with built-in support for computation, visualisation, machine learning, access to databases and the semantic web and, last but not least, a dedicated Wikidata function.
In this talk I'll show some of the cool things you can do with Wikidata using the WL, including retrieval, querying, analysis, visualisation, comparison and curation of data.
Whether you are new to Wikidata or an experienced contributor, whether you know the WL or no programming at all, you'll learn something new.