Fig. 8From: Ontology-based identification and prioritization of candidate drugs for epilepsy from literatureThe UIMA-based text mining workflow reads all documents from the 2021 BioASQ corpus in order to tokenize, stem, and annotate them with terms from the ontologies EpSO, ESSO, EPILONT, EPISEM, FENICS, an DrugBank. The resulting annotations are stored in MongoDB and later used for aggregating the frequency of co-occurring drug names for each of the ontologiesBack to article page