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Abstract

One recent ambitious project from the Royal Society aims to digitise all transactions of the Royal Society over the years. As the earliest scientific journal publication in the world, this resource is an invaluable asset to the history of human scientific knowledge. However, given the historical span and sheer volume of this information, being able to uniquely and accurately identify each contributing fellow and their metadata is a real challenge. Furthermore, not all the contributors are Royal Society Fellows, and therefore their unique identity and metadata is not retained in the Royal Society knowledge. Both issues make the digitisation project a real challenge, to achieve high accuracy and coverage.

This UG project will work together with the Royal Society, to design a novel algorithm that uses multiple features to align scholarship entities from different datasets, in order to enhance the quality of existing datasets and the coverage of the scholarship knowledgebase from the Royal Society