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AI research defines low-resource languages for better digital representation

Two related papers propose methodologies to address the digital divide caused by low-resource languages in the Semantic Web. The research focuses on analyzing language distribution within Linked Open Data Knowledge Graphs (LOD KGs) using datasets like DBpedia, BabelNet, and Wikidata. The goal is to formally define "low-resource" languages in this context to facilitate cross-lingual transfer and improve multilingual KG completion. AI

IMPACT Aims to improve digital representation for low-resource languages, potentially enabling broader participation in global digital transformation.

RANK_REASON Two arXiv papers propose methodologies for analyzing and defining low-resource languages within Linked Open Data Knowledge Graphs.

Read on arXiv cs.AI →

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AI research defines low-resource languages for better digital representation

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Two arXiv papers propose methodologies for analyzing and defining low-resource languages within Linked Open Data Knowledge Graphs.
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COVERAGE [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…