将狄德罗《百科全书》中的命名实体链接到Wikidata
Linking Named Entities in Diderot's Encyclopédie to Wikidata
AI总结：
本文通过将《百科全书》中的10300多个条目与Wikidata标识符链接，实现了知识图谱的连接，展示了地理和人文实体的标注方法与应用实例。
摘要：
狄德罗《百科全书》是一部18世纪欧洲的知识参考作品，旨在收集当时的知识。维基百科有相同的目标，但范围更大。然而，两者之间缺乏数字连接可能阻碍其比较和知识演变的研究。维基百科的关键要素是Wikidata，它通过结构化数据图谱支持文章。本文描述了对《百科全书》中超过10,300个条目进行注释，以连接到图谱。我们考虑了地理和人文实体。《百科全书》不包含传记条目，因为它们大多作为位置的子条目出现。我们提取了所有地理条目，并完全注释了所有包含人类实体描述的条目。这代表了超过2,600个链接，指向位置或人类实体。此外，我们注释了超过9,500个仅包含地理内容的条目。我们描述了注释过程以及应用示例。此资源可在https://github.com/pnugues/encyclopedie_1751获取。
英文摘要：
Diderot's Encyclopédie is a reference work from XVIIIth century in Europe that aimed at collecting the knowledge of its era. Wikipedia has the same ambition with a much greater scope. However, the lack of digital connection between the two encyclopedias may hinder their comparison and the study of how knowledge has evolved. A key element of Wikipedia is Wikidata that backs the articles with a graph of structured data. In this paper, we describe the annotation of more than 10,300 of the Encyclopédie entries with Wikidata identifiers enabling us to connect these entries to the graph. We considered geographic and human entities. The Encyclopédie does not contain biographic entries as they mostly appear as subentries of locations. We extracted all the geographic entries and we completely annotated all the entries containing a description of human entities. This represents more than 2,600 links referring to locations or human entities. In addition, we annotated more than 9,500 entries having a geographic content only. We describe the annotation process as well as application examples. This resource is available at https://github.com/pnugues/encyclopedie_1751
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
