License: Creative Commons Attribution 4.0 International license (CC BY 4.0)
When quoting this document, please refer to the following
DOI: 10.4230/DagSemProc.08131.6
URN: urn:nbn:de:0030-drops-15204
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2008/1520/
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Dietze, Heiko ; Alexopoulou, Dimitra ; Alvers, Michael R. ; Barrio-Alvers, Bill ; Doms, Andreas ; Hakenberg, Jörg ; Mönnich, Jan ; Plake, Conrad ; Reischuck, Andreas ; Royer, Loic ; Wächter, Thomas ; Zschunke, Matthias ; Schroeder, Michael

GoPubMed: Exploring Pubmed with Ontological Background Knowledge

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08131.SchroederMichael.ExtAbstract.1520.pdf (0.01 MB)

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.

BibTeX - Entry

@InProceedings{dietze_et_al:DagSemProc.08131.6,
  author =	{Dietze, Heiko and Alexopoulou, Dimitra and Alvers, Michael R. and Barrio-Alvers, Bill and Doms, Andreas and Hakenberg, J\"{o}rg and M\"{o}nnich, Jan and Plake, Conrad and Reischuck, Andreas and Royer, Loic and W\"{a}chter, Thomas and Zschunke, Matthias and Schroeder, Michael},
  title =	{{GoPubMed: Exploring Pubmed with Ontological Background Knowledge}},
  booktitle =	{Ontologies and Text Mining for Life Sciences : Current Status and Future Perspectives},
  pages =	{1--1},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2008},
  volume =	{8131},
  editor =	{Michael Ashburner and Ulf Leser and Dietrich Rebholz-Schuhmann},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/opus/volltexte/2008/1520},
  URN =		{urn:nbn:de:0030-drops-15204},
  doi =		{10.4230/DagSemProc.08131.6},
  annote =	{Keywords: Text mining, literature search, Gene Ontology, NLP, ontology, thesaurus, PubMed}
}

Keywords: Text mining, literature search, Gene Ontology, NLP, ontology, thesaurus, PubMed
Collection: 08131 - Ontologies and Text Mining for Life Sciences : Current Status and Future Perspectives
Issue Date: 2008
Date of publication: 03.06.2008

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