CYAICLAug 17, 2022

Getting Quechua Closer to Final Users through Knowledge Graphs

arXiv:2208.12608v23 citationsh-index: 9
Originality Synthesis-oriented
AI Analysis

This addresses the problem of limited digital resources for Quechua speakers, researchers, and developers, though it is incremental as it applies existing knowledge graph methods to a new language domain.

The paper tackled the lack of accessible resources for Quechua communities by creating the Quechua Knowledge Graph, resulting in a publicly available, machine-retrievable graph with 553,636 triples.

Quechua language and Quechua knowledge gather millions of people around the world, especially in several countries in South America. Unfortunately, there are only a few resources available to Quechua communities, and they are mainly stored in PDF format. In this paper, the Quechua Knowledge Graph is envisioned and generated as an effort to get Quechua closer to the Quechua communities, researchers, and technology developers. Currently, there are 553636 triples stored in the Quechua Knowledge Graph, which is accessible on the Web, retrievable by machines, and curated by users. To showcase the deployment of the Quechua Knowledge Graph, use cases and future work are described.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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