
Building Knowledge Graphs for Under Resourced Languages

Elwin
Huaman
Building Knowledge Graphs for Under Resourced Languages
Förderjahr 2024 / Stipendium Call #19 / Stipendien ID: 7335
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.
Uni | FH [Universität]
Universität Innsbruck
Themengebiet
Artificial Intelligence
,
Digital Divide
,
Information Visualization
,
Interdisciplinary Research
,
Projektmanagement
,
Semantic Web
,
Semantische Modellierung
Zielgruppe
Start-ups
,
Systemintegratoren
,
thematische Community
Gesamtklassifikation
Dissertation | PhD
,
Informationen | Guidelines
,
Initiative |Aktion
Technologie
AI | KI
,
Datenbank
,
Linked Data
,
Open Data
,
Semantische Netze