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Doctoral thesis
Automating the construction of higher order data representations from heterogeneous biodiversity datasets
Datasets created from large-scale specimen digitisation drive biodiversity research, but these are often heterogeneous: incomplete and fragmented. As aggregated data volumes increase, there have been calls to develop a “biodiversity knowledge graph” to better interconnect the data and support meta-analysis, particularly relating to the process of species description. This work...Nicolson, Nicky
Clustering, Specimen digitisation, Biodiversity informatics, Machine learning, and Record linkage