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Dietze, Heiko [Author]; Alexopoulou, Dimitra [Author]; Alvers, Michael R. [Author]; Barrio-Alvers, Bill [Author]; Doms, Andreas [Author]; Hakenberg, Jörg [Author]; Mönnich, Jan [Author]; Plake, Conrad [Author]; Reischuck, Andreas [Author]; Royer, Loic [Author]; Wächter, Thomas [Author]; Zschunke, Matthias [Author]; Schroeder, Michael [Author] ; Heiko Dietze and Dimitra Alexopoulou and Michael R. Alvers and Bill Barrio-Alvers and Andreas Doms and Jörg Hakenberg and Jan Mönnich and Conrad Plake and Andreas Reischuck and Loic Royer and Thomas Wächter and Matthias Zschunke and Michael Schroeder [Contributor]

GoPubMed: Exploring Pubmed with Ontological Background Knowledge

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  • Media type: Text; E-Article; Electronic Conference Proceeding
  • Title: GoPubMed: Exploring Pubmed with Ontological Background Knowledge
  • Contributor: Dietze, Heiko [Author]; Alexopoulou, Dimitra [Author]; Alvers, Michael R. [Author]; Barrio-Alvers, Bill [Author]; Doms, Andreas [Author]; Hakenberg, Jörg [Author]; Mönnich, Jan [Author]; Plake, Conrad [Author]; Reischuck, Andreas [Author]; Royer, Loic [Author]; Wächter, Thomas [Author]; Zschunke, Matthias [Author]; Schroeder, Michael [Author]
  • Published: Schloss Dagstuhl – Leibniz-Zentrum für Informatik, 2008
  • Language: English
  • DOI: https://doi.org/10.4230/DagSemProc.08131.6
  • Keywords: thesaurus ; Text mining ; ontology ; PubMed ; Gene Ontology ; NLP ; literature search
  • Origination:
  • Footnote: Diese Datenquelle enthält auch Bestandsnachweise, die nicht zu einem Volltext führen.
  • Description: With the ever increasing size of scientific literature, finding relevant documents and answering questions has become even more of a challenge. Recently, ontologies - hierarchical, controlled vocabularies - have been introduced to annotate genomic data. They can also improve the question answering and the selection of relevant documents in the literature search. Search engines such as GoPubMed.org use ontological background knowledge to give an overview over large query results and to help answering questions. We review the problems and solutions underlying these next generation intelligent search engines and give examples of the power of this new search paradigm.
  • Access State: Open Access