In May 2018, Wikidata added support for a new kind of entities called lexemes or L-items. An important concept in lexicography and linguistic analysis, lexemes are the units of language that are used to group together words that are related through inflection. For example, the English verb run is a lexeme that refers to the set of words which includes run, runs, ran, and running—all of which share the same meaning. Capturing such lexicographical information is important, and doing so using linked data greatly increases the utility of the resulting dataset.
As efforts to fight the ongoing pandemic of COVID-19 caused by SARS-CoV-2 are ramping up across the world, more and more authoritative and high-quality datasets are becoming available for research and analysis.
Official COVID-19 datasets are published by governments in a variety of different formats and normally do not follow the same structure. Aggregating them is essential for getting a unified, global view of the pandemic.
Since 1901, the Nobel Prizes and the Prizes in Economic Sciences have been awarded 597 times. 950 people and organisations have received the award in the following categories: Physics, Chemistry, Physiology or Medicine, Literature, Peace, and Economic Sciences.
The official Nobel Prize Linked Data dataset is an authoritative source of information about Nobel Prizes and laureates. Importantly, the Nobel Prizes are often shared between multiple people, and the same person or organisation can receive multiple Nobel Prizes. RDF works really well for representing such relationships.