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ABA-Cloud: support for collaborative breath research

This paper introduces the advanced breath analysis (ABA) platform, an innovative scientific research platform for the entire breath research domain. Within the ABA project, we are investigating novel data management concepts and semantic web technologies to document breath analysis studies for the l...

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Detalles Bibliográficos
Autores principales: Elsayed, Ibrahim, Ludescher, Thomas, King, Julian, Ager, Clemens, Trosin, Michael, Senocak, Uygar, Brezany, Peter, Feilhauer, Thomas, Amann, Anton
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4913868/
https://www.ncbi.nlm.nih.gov/pubmed/23619467
http://dx.doi.org/10.1088/1752-7155/7/2/026007
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author Elsayed, Ibrahim
Ludescher, Thomas
King, Julian
Ager, Clemens
Trosin, Michael
Senocak, Uygar
Brezany, Peter
Feilhauer, Thomas
Amann, Anton
author_facet Elsayed, Ibrahim
Ludescher, Thomas
King, Julian
Ager, Clemens
Trosin, Michael
Senocak, Uygar
Brezany, Peter
Feilhauer, Thomas
Amann, Anton
author_sort Elsayed, Ibrahim
collection PubMed
description This paper introduces the advanced breath analysis (ABA) platform, an innovative scientific research platform for the entire breath research domain. Within the ABA project, we are investigating novel data management concepts and semantic web technologies to document breath analysis studies for the long run as well as to enable their full automatic reproducibility. We propose several concept taxonomies (a hierarchical order of terms from a glossary of terms), which can be seen as a first step toward the definition of conceptualized terms commonly used by the international community of breath researchers. They build the basis for the development of an ontology (a concept from computer science used for communication between machines and/or humans and representation and reuse of knowledge) dedicated to breath research.
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spelling pubmed-49138682016-06-20 ABA-Cloud: support for collaborative breath research Elsayed, Ibrahim Ludescher, Thomas King, Julian Ager, Clemens Trosin, Michael Senocak, Uygar Brezany, Peter Feilhauer, Thomas Amann, Anton J Breath Res Article This paper introduces the advanced breath analysis (ABA) platform, an innovative scientific research platform for the entire breath research domain. Within the ABA project, we are investigating novel data management concepts and semantic web technologies to document breath analysis studies for the long run as well as to enable their full automatic reproducibility. We propose several concept taxonomies (a hierarchical order of terms from a glossary of terms), which can be seen as a first step toward the definition of conceptualized terms commonly used by the international community of breath researchers. They build the basis for the development of an ontology (a concept from computer science used for communication between machines and/or humans and representation and reuse of knowledge) dedicated to breath research. 2013-04-26 2013-06 /pmc/articles/PMC4913868/ /pubmed/23619467 http://dx.doi.org/10.1088/1752-7155/7/2/026007 Text en http://creativecommons.org/licenses/by/3.0/ Content from this work may be used under the terms of the Creative Commons Attribution 3.0 licence (http://creativecommons.org/licenses/by/3.0/) . Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.
spellingShingle Article
Elsayed, Ibrahim
Ludescher, Thomas
King, Julian
Ager, Clemens
Trosin, Michael
Senocak, Uygar
Brezany, Peter
Feilhauer, Thomas
Amann, Anton
ABA-Cloud: support for collaborative breath research
title ABA-Cloud: support for collaborative breath research
title_full ABA-Cloud: support for collaborative breath research
title_fullStr ABA-Cloud: support for collaborative breath research
title_full_unstemmed ABA-Cloud: support for collaborative breath research
title_short ABA-Cloud: support for collaborative breath research
title_sort aba-cloud: support for collaborative breath research
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4913868/
https://www.ncbi.nlm.nih.gov/pubmed/23619467
http://dx.doi.org/10.1088/1752-7155/7/2/026007
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