In July 2020, I received a WikiCred grant to create a bot to add references from PubMed Central to biomedical statements in Wikidata based on the bibliographic metadata of scholarly publications. After four months of work, I found that this method can return a highly precise dataset of links between biomedical relations and references. However, it can leave an important number of accurate statements without sources. These findings motivate the use of bibliographic metadata coupled to other resources and techniques to drive a reference assignment algorithm for Wikidata and Wikipedia among other collaborative websites. …
Since 2012, Wikidata has grown to become one of the largest knowledge graphs ever. A knowledge graph is a machine-readable semantic resource where concepts are represented as items and facts are represented in the form of Subject-Predicate-Object (The object can be an item, a string or a value). Despite the volume of this knowledge base, many Wikidata statements are not linked to reliable references. We are developing a bot that can add reference support to Wikidata statements, called RefB.
Wikidata was proposed in 2012 as a collaborative knowledge graph to support structured information on Wikipedia. Thanks to its flexible data model, it has grown and been used as an effective knowledge base in a variety of fields, including medicine, digital humanities, and library and information science. As of June 13, 2020, it includes over 87 million concepts, adjusted 1 billion times, by 4,347,873 people, particularly 26,641 active users. …
