论文标题
URW-KG：一种解决非西方作家代表性不足的资源
The URW-KG: a Resource for Tackling the Underrepresentation of non-Western Writers
论文作者
论文摘要
数字媒体使访问前所未有的文学知识。作者，读者和学者现在能够发现并分享有关书籍及其作者的越来越多的信息。尽管如此，数字档案仍然是不平衡的：来自非西方国家的作家的代表性降低，这种条件导致旧形式的歧视。在本文中，我们介绍了代表性不足的作家知识图（URW-KG），该资源旨在通过收集和绘制有关Wikidata和其他三个来源的作品的信息和作者的信息来探索并可能修改这种缺乏代表性的资源：Open Library，GoodReads，GoodReads和Google Books。基于KG嵌入的实验表明，图中编码的集成信息使学者和用户可以更轻松地暴露于非西方文学作品和有关Wikidata的作者。这开发了为作者发现和探索的更公平，有效的工具。
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.
