Ontologies and Text Mining for Life Sciences: Current Status and Future Perspectives

Michael Ashburner; Ulf Leser; Dietrich Rebholz-Schuhmann; Andreas Schlicker; Fidel Ramirez; Jörg Rahnenführer; Carola Huthmacher; Alejandro Pironti; Francisco S Domingues; Thomas Lengauer; Georgios Gkoutos

Ontologies and Text Mining for Life Sciences: Current Status and Future Perspectives

Michael Ashburner, Ulf Leser, Dietrich Rebholz-Schuhmann, Andreas Schlicker, Fidel Ramirez, Jörg Rahnenführer, Carola Huthmacher, Alejandro Pironti, Francisco S Domingues, Thomas Lengauer, Georgios Gkoutos

Department of Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference Proceeding (Non-Journal item)

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.

Original language	English
Title of host publication	Dagstuhl Seminar Proceedings 08131
Publisher	Schloss Dagstuhl – Leibniz-Zentrum für Informatik
Publication status	Published - 2008
Event	Dagstuhl Seminar Proceedings 2008 - , Germany Duration: 24 Mar 2008 → 28 Mar 2008

Conference

Conference	Dagstuhl Seminar Proceedings 2008
Country/Territory	Germany
Period	24 Mar 2008 → 28 Mar 2008

Keywords

text mining
natural language processing
ontologies
ontology design
machine learning
bioinformatics
medical informatics
knowledge management

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@inproceedings{d694f1a7b4a34c60b09f79cf0acea81e,

title = "Ontologies and Text Mining for Life Sciences: Current Status and Future Perspectives",

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.",

keywords = "text mining, natural language processing, ontologies, ontology design, machine learning, bioinformatics, medical informatics, knowledge management",

author = "Michael Ashburner and Ulf Leser and Dietrich Rebholz-Schuhmann and Andreas Schlicker and Fidel Ramirez and J{\"o}rg Rahnenf{\"u}hrer and Carola Huthmacher and Alejandro Pironti and Domingues, {Francisco S} and Thomas Lengauer and Georgios Gkoutos",

year = "2008",

language = "English",

booktitle = "Dagstuhl Seminar Proceedings 08131",

publisher = "Schloss Dagstuhl – Leibniz-Zentrum f{\"u}r Informatik",

note = "Dagstuhl Seminar Proceedings 2008 ; Conference date: 24-03-2008 Through 28-03-2008",

}

Ashburner, M, Leser, U, Rebholz-Schuhmann, D, Schlicker, A, Ramirez, F, Rahnenführer, J, Huthmacher, C, Pironti, A, Domingues, FS, Lengauer, T & Gkoutos, G 2008, Ontologies and Text Mining for Life Sciences: Current Status and Future Perspectives. in Dagstuhl Seminar Proceedings 08131. Schloss Dagstuhl – Leibniz-Zentrum für Informatik, Dagstuhl Seminar Proceedings 2008, Germany, 24 Mar 2008.

TY - GEN

T1 - Ontologies and Text Mining for Life Sciences

T2 - Dagstuhl Seminar Proceedings 2008

AU - Ashburner, Michael

AU - Leser, Ulf

AU - Rebholz-Schuhmann, Dietrich

AU - Schlicker, Andreas

AU - Ramirez, Fidel

AU - Rahnenführer, Jörg

AU - Huthmacher, Carola

AU - Pironti, Alejandro

AU - Domingues, Francisco S

AU - Lengauer, Thomas

AU - Gkoutos, Georgios

PY - 2008

Y1 - 2008

N2 - 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.

AB - 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.

KW - text mining

KW - natural language processing

KW - ontologies

KW - ontology design

KW - machine learning

KW - bioinformatics

KW - medical informatics

KW - knowledge management

UR - http://hdl.handle.net/2160/12089

M3 - Conference Proceeding (Non-Journal item)

BT - Dagstuhl Seminar Proceedings 08131

PB - Schloss Dagstuhl – Leibniz-Zentrum für Informatik

Y2 - 24 March 2008 through 28 March 2008

ER -

Ontologies and Text Mining for Life Sciences: Current Status and Future Perspectives

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Keywords

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