AI Lab

Lab Leads:

Professor Goran Nenandic

Dr Riza Batista-Navarro

Based at the University of Manchester, the AI Lab is focusing on the AI-enabled interpretation and text-mining of complex, imperfect, and orphaned collection description data for community-generated digital content, and the underlying content being described.

It is developing scalable and explainable machine learning and AI techniques to create a pipeline for automated extraction and semantic enrichment of CGDC metadata from disparate collections (via the use of structured metadata, such as core language elements, existing authority data and terms from novel ontologies). This is then being developed into knowledge graphs of CGDC metadata, to enable complex representations and search. 

The AI Lab are also working closely with the Linguistics Lab to explore potential ways of improving automated methods using linguistics-specific expertise and resources.