John Domingue, Professor of Computer Science

Towards Contextually Safe Verifiable Non-Biased Dating Profiles

Imagine entering the immigration area of a country and a border guard takes your phone as you arrive. You sit wondering if your profile on dating sites such as Tinder will be disapproved of, resulting in entry being denied or worse. If access is granted you wonder if it will be safe to use the dating app to set up a local date. Are the local profiles you browse genuine? Can you trust that any arranged physical date will be safe.

In this project we will explore how a combination of Personal Knowledge Graphs, Large Language Models, Solid (a personal data store from Sir Tim Berners-Lee's company Inrupt), can be brought together to support the creation of contextually safe, verifiable non-biased dating app profiles can be created.

To assist you in your aims at the summer school, we are providing a demonstrator, written originally for the 2023 ISWS Summer school, that can validate RDF datasets on the blockchain using the Linkchain library. Please find links to the documentation, demo, and source code below:

Resources

Documentation / Preparation for using the Demo

Demo of RDF Dataset verification using Linkchain, Ethereum Blockchain and Solid

Source Code

Demo

Demo Inrupt sub-library

Linkchain library

International Semantic Web Research Summer School Homepage

Aisling Third, Research Fellow

Michelle Bachler, Senior Manager (Software Innovation Engineering Services)

If you have any issues with any of these materials please email:michelle.bachler@open.ac.uk