  Digital media have enabled the access to unprecedented literary knowledge.
Authors, readers, and scholars are now able to discover and share an increasing
amount of information about books and their authors. Notwithstanding, digital
archives are still unbalanced: writers from non-Western countries are less
represented, and such a condition leads to the perpetration of old forms of
discrimination. In this paper, we present the Under-Represented Writers
Knowledge Graph (URW-KG), a resource designed to explore and possibly amend
this lack of representation by gathering and mapping information about works
and authors from Wikidata and three other sources: Open Library, Goodreads, and
Google Books. The experiments based on KG embeddings showed that the integrated
information encoded in the graph allows scholars and users to be more easily
exposed to non-Western literary works and authors with respect to Wikidata
alone. This opens to the development of fairer and effective tools for author
discovery and exploration.
