GoPubMed: ontology-based literature search applied to gene ontology and pubmed
dc.contributor.author | Delfs, Ralph | |
dc.contributor.author | Doms, Andreas | |
dc.contributor.author | Kozlenkov, Alexander | |
dc.contributor.author | Schroeder, Michael | |
dc.contributor.editor | Giegerich, Robert | |
dc.contributor.editor | Stoye, Jens | |
dc.date.accessioned | 2019-10-11T11:32:38Z | |
dc.date.available | 2019-10-11T11:32:38Z | |
dc.date.issued | 2004 | |
dc.description.abstract | The 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.org | en |
dc.identifier.isbn | 3-88579-382-2 | |
dc.identifier.pissn | 1617-5468 | |
dc.identifier.uri | https://dl.gi.de/handle/20.500.12116/28663 | |
dc.language.iso | en | |
dc.publisher | Gesellschaft für Informatik e.V. | |
dc.relation.ispartof | German Conference on Bioinformatics 2004, GCB 2004 | |
dc.relation.ispartofseries | Lecture Notes in Informatics (LNI) - Proceedings, Volume P-53 | |
dc.subject | Text mining | |
dc.subject | term extraction | |
dc.subject | ontologies | |
dc.title | GoPubMed: ontology-based literature search applied to gene ontology and pubmed | en |
dc.type | Text/Conference Paper | |
gi.citation.endPage | 178 | |
gi.citation.publisherPlace | Bonn | |
gi.citation.startPage | 169 | |
gi.conference.date | October 4-6, 2004 | |
gi.conference.location | Bielefeld | |
gi.conference.sessiontitle | Regular Research Papers |
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