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English(EN) Which Are the Low-Resource Languages of the Semantic Web?

AI研究定义低资源语言,以实现更好的数字表征

两篇相关论文提出了解决语义网中低资源语言造成的数字鸿沟的方法。研究重点是使用DBpedia、BabelNet和Wikidata等数据集,分析Linked Open Data知识图谱(LOD KGs)中的语言分布。目标是正式定义此背景下的“低资源”语言,以促进跨语言迁移并改进多语言KG补全。 AI

影响 旨在改善低资源语言的数字表征,可能使更广泛的参与到全球数字化转型中。

排序理由 两篇arXiv论文提出了在Linked Open Data知识图谱中分析和定义低资源语言的方法。

在 arXiv cs.AI 阅读 →

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AI研究定义低资源语言,以实现更好的数字表征

报道来源 [2]

  1. arXiv cs.AI TIER_1 English(EN) · Ndeye-Emilie Mbengue (WIMMICS), Pierre Monnin (WIMMICS), Miguel Couceiro (INESC-ID), Fabien Gandon (WIMMICS) ·

    Which Are the Low-Resource Languages of the Semantic Web?

    arXiv:2605.05929v1 Announce Type: new Abstract: Emerging digital technologies are exacerbating the existing divide in Open Access Data (OAD) between high-and low-resource languages, excluding many communities from the global digital transformation. Multilingual Linked Open Data K…

  2. arXiv cs.AI TIER_1 English(EN) · Ndeye-Emilie Mbengue (WIMMICS) ·

    In Data or Invisible: Toward a Better Digital Representation of Low-Resource Languages with Knowledge Graphs

    arXiv:2605.05931v1 Announce Type: new Abstract: Emerging digital technologies are exacerbating the existing divide in Open Access Data (OAD) between high-and low-resource languages, excluding many communities from participating in the global digital transformation. In this PhD pr…