Extracting a list of labels from Wikidata for the entities included in each biomedical class

[csisc]

Created in October 2012, Wikidata is a large-scale, human-readable, machine-readable, multilingual, multidisciplinary, centralized, editable, structured, and linked knowledge-base with an increasing diversity of use cases. Here, we raise awareness of the potential use of Wikidata as a useful resource for biomedical data integration and semantic interoperability between biomedical computer systems. In the context of COVID-19 pandemic, Wikidata has been used to include various data related to medicine, COVID-19 and SARS-CoV-2.
We can extract a list of English labels from Wikidata for the entities of each biomedical class using SPARQL and use them later to assign an extracted concept to its class or to its non-taxonomic relations with other biomedical concepts.

• Diseases: https://w.wiki/Tzp
• Drugs: https://w.wiki/Tzt
• Biological process: https://w.wiki/Tzv
• Human genes: https://w.wiki/T$2
• Proteins: https://w.wiki/Tzz
• Medical procedures: https://w.wiki/T$3
• Parts of human body: https://w.wiki/T$5

This can be expanded.