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

TL;DR

This paper proposes a methodology and categorization to identify low-resource languages within Linked Open Data Knowledge Graphs, aiming to address digital divide issues in multilingual digital technologies.

Contribution

It introduces a formal definition of low-resource languages in LOD KGs based on a new categorization scheme using DBpedia, BabelNet, and Wikidata.

Findings

Proposed a multi-level categorization of languages in LOD KGs.

Provided a formal definition of low-resource languages.

Enabled selection of cross-lingual transfer candidates.

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 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.