iASiS Open Data Graph: Automated Semantic Integration of Disease-Specific Knowledge ©2020 IEEE.
TABLE I: Disease-specific literature and knowledge extracted from it.
['[BOLD] Case study', '[BOLD] DMD', '[BOLD] ADD', '[BOLD] LC']
DMD had the higher percentage of full-text availability exceeding 24%, probably because the relevant literature has been published more recently. In terms of quantity, concept occurrence relations (“Mentioned in”) is dominant and topic annotations (“Has MeSH”) are also quite abundant, while domain knowledge, in the form of UMLS SN relations between extracted concepts is the least frequent. This could be attributed to limitations in relation extraction step which is the most complex and less mature part of the processing.