Building Knowledge Graphs for Under Resourced Languages

This work aims to lay the foundations for building community-centred and language-aligned Knowledge Graphs for Under-Resourced Languages and their communities. These Knowledge Graphs will act as a common sense layer and will play a key role in shaping the Internet and Artificial Intelligence applications for a better future, where no one is left behind. Why this project matters: There are about 7000 languages in the world and only a few of them have been implemented in language technologies. How it is done: Allowing all languages to be represented in knowledge graphs Contributions: A community-driven approach to knowledge graph curation, and bringing awareness of bias in knowledge graphs and AI applications.