This Tuesday, Accenture and the UN organized the Knowledge Graphs for Social Good workshop, part of the Knowledge Graph conference. My submission to this workshop “Knowledge Graphs for the Rural Poor” was about ICT for Development research previously done within the FP7 VOICES in collaboration with students. In the contribution, we argue that there are three challenges to make Knowledge Graphs relevant and accessible for the Rural Poor.
- Make KGs usable in low-resource, low-connectivity contexts
- Make KGs accessible for users with various (cultural) backgrounds and levels of literacy;
- Develop knowledge sharing cases and applications relevant for the rural poor
The paper was based on previous work which can be found in these papers. More information can also be found elsewhere on this blog.
- Linked data for the international aid transparency initiative (project with Kasper Brandt)
- Guéret et al. Let’s “Downscale” Linked Data. (2014) [IEEE Link]
- de Boer et al. A Dialogue with Linked Data – Voice-Based Access to Market Data in the Sahel (2013) [Draft PDF]
- Valkering et al.The semantic web in an SMS (2016) [Draft PDF]
- Baart, A. et al. A voice service development platform to bridge the web’s digital divide (2018). [Link INSTICC]
- Ali, F.: Machine-to-machine communication in rural conditions. realising KasadakaNet. (Master Thesis Vu Information Science)
Source: Victor de Boer