Delfs, RalphDoms, AndreasKozlenkov, AlexanderSchroeder, MichaelGiegerich, RobertStoye, Jens2019-10-112019-10-1120043-88579-382-2https://dl.gi.de/handle/20.500.12116/28663The biomedical literature grows at a tremendous rate, so that finding the relevant literature is becoming more and more difficult. To address this problem we introduce ontology-based literature search, which structures search results thorugh the categories of an ontology. We develop and implement GoP- ubMed, which submits keywords to PubMed, extracts GeneOntology-terms from the retrieved abstracts, and presents the relevant sub-ontology for browsing. For GoPubMed we develop a novel term extraction algorithm and evaluate its performance. GoPubMed is available at www.gopubmed.orgenText miningterm extractionontologiesText/Conference Paper1617-5468