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.08131.1
URN: urn:nbn:de:0030-drops-15234
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2008/1523/
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Ashburner, Michael ; Leser, Ulf ; Rebholz-Schuhmann, Dietrich

08131 Executive Summary -- Ontologies and Text Mining for Life Sciences : Current Status and Future Perspectives

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08131.SWM.ExtAbstract.1523.pdf (0.2 MB)

Abstract

Researchers in Text Mining and researchers active in developing ontological resources provide solutions to preserve semantic information properly, i.e. in ontologies and/or fact databases. Researchers from both fields tend to work independently from each other, but there is a shared interest to profit from ongoing research in the complementary domain. The relatedness of both domains has led to the idea to organize a workshop that brings together members of both research domains.

BibTeX - Entry

@InProceedings{ashburner_et_al:DagSemProc.08131.1,
  author =	{Ashburner, Michael and Leser, Ulf and Rebholz-Schuhmann, Dietrich},
  title =	{{08131 Executive Summary – Ontologies and Text Mining for Life Sciences : Current Status and Future Perspectives}},
  booktitle =	{Ontologies and Text Mining for Life Sciences : Current Status and Future Perspectives},
  pages =	{1--5},
  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/2008/1523},
  URN =		{urn:nbn:de:0030-drops-15234},
  doi =		{10.4230/DagSemProc.08131.1},
  annote =	{Keywords: Text Mining, natural language processing, ontologies, ontology design, machine learning, bioinformatics, medical informatics, knowledge management}
}

Keywords: Text Mining, natural language processing, ontologies, ontology design, machine learning, bioinformatics, medical informatics, knowledge management
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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