Which Are the Low-Resource Languages of the Semantic Web?
Fuente:
arXiv
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| Autori principali: | , , , |
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| Natura: | Preprint |
| Pubblicazione: |
2026
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| _version_ | 1866917467675164672 |
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| author | Mbengue, Ndeye-Emilie Monnin, Pierre Couceiro, Miguel Gandon, Fabien |
| author_facet | Mbengue, Ndeye-Emilie Monnin, Pierre Couceiro, Miguel Gandon, Fabien |
| contents | 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 Knowledge Graphs (LOD KGs) could contribute to mitigating this divide through cross-lingual transfer; however, no clear quantitative definition of low-resource languages has yet been established in the context of LOD KGs. In this poster, we present a methodology to analyze the distribution of languages across LOD KGs and propose a preliminary multi-level categorization based on DBpedia, BabelNet, and Wikidata. This categorization is leveraged to bring a formal definition of low-, high-, and medium-resource languages that could be later leveraged to select cross-lingual transfer candidates. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2605_05929 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | Which Are the Low-Resource Languages of the Semantic Web? Mbengue, Ndeye-Emilie Monnin, Pierre Couceiro, Miguel Gandon, Fabien Artificial Intelligence 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 Knowledge Graphs (LOD KGs) could contribute to mitigating this divide through cross-lingual transfer; however, no clear quantitative definition of low-resource languages has yet been established in the context of LOD KGs. In this poster, we present a methodology to analyze the distribution of languages across LOD KGs and propose a preliminary multi-level categorization based on DBpedia, BabelNet, and Wikidata. This categorization is leveraged to bring a formal definition of low-, high-, and medium-resource languages that could be later leveraged to select cross-lingual transfer candidates. |
| title | Which Are the Low-Resource Languages of the Semantic Web? |
| topic | Artificial Intelligence |
| url | https://arxiv.org/abs/2605.05929 |