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GoPubMed: Exploring Pubmed with Ontological Background Knowledge

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



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Author Details

Heiko Dietze
Dimitra Alexopoulou
Michael R. Alvers
Bill Barrio-Alvers
Andreas Doms
Jörg Hakenberg
Jan Mönnich
Conrad Plake
Andreas Reischuck
Loic Royer
Thomas Wächter
Matthias Zschunke
Michael Schroeder

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Heiko Dietze, Dimitra Alexopoulou, Michael R. Alvers, Bill Barrio-Alvers, Andreas Doms, Jörg Hakenberg, Jan Mönnich, Conrad Plake, Andreas Reischuk, Loic Royer, Thomas Wächter, Matthias Zschunke, and Michael Schroeder. GoPubMed: Exploring Pubmed with Ontological Background Knowledge. In Ontologies and Text Mining for Life Sciences : Current Status and Future Perspectives. Dagstuhl Seminar Proceedings, Volume 8131, p. 1, Schloss Dagstuhl - Leibniz-Zentrum für Informatik (2008)
https://doi.org/10.4230/DagSemProc.08131.6

Abstract

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.
Keywords
  • Text mining
  • literature search
  • Gene Ontology
  • NLP
  • ontology
  • thesaurus
  • PubMed

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