Region Evolution eXplorer
Background: A large number of life science ontologies has been developed to support different application scenarios such as gene annotation or functional analysis. The continuous accumulation of new insights and knowledge affects specific portions in ontologies and thus leads to their adaptation. Th...
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Universitätsbibliothek Leipzig
2015
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ndltd-DRESDEN-oai-qucosa.de-bsz-15-qucosa-1701592015-06-03T03:41:35Z Region Evolution eXplorer Christen, Victor Hartung, Michael Groß, Anika Evolution Visualisierung Ontologien Ontology evolution Ontology visualization Ontologies ddc:400 ddc:610 ddc:570 Background: A large number of life science ontologies has been developed to support different application scenarios such as gene annotation or functional analysis. The continuous accumulation of new insights and knowledge affects specific portions in ontologies and thus leads to their adaptation. Therefore, it is valuable to study which ontology parts have been extensively modified or remained unchanged. Users can monitor the evolution of an ontology to improve its further development or apply the knowledge in their applications. Universitätsbibliothek Leipzig Universität Leipzig, Institut für Informatik Universität Leipzig, Interdisziplinäres Zentrum für Bioinformatik BioMed Central, 2015-06-01 doc-type:article application/pdf http://nbn-resolving.de/urn:nbn:de:bsz:15-qucosa-170159 urn:nbn:de:bsz:15-qucosa-170159 issn:2041-1480 http://www.qucosa.de/fileadmin/data/qucosa/documents/17015/OAP-2015-090-Christen.s13326-015-0020-6.pdf Journal of biomedical semantics 2015, 26 (6) eng |
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English |
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Article |
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Evolution Visualisierung Ontologien Ontology evolution Ontology visualization Ontologies ddc:400 ddc:610 ddc:570 |
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Evolution Visualisierung Ontologien Ontology evolution Ontology visualization Ontologies ddc:400 ddc:610 ddc:570 Christen, Victor Hartung, Michael Groß, Anika Region Evolution eXplorer |
description |
Background: A large number of life science ontologies has been developed to support different application scenarios such as gene annotation or functional analysis. The continuous accumulation of new insights and knowledge affects specific portions in ontologies and thus leads to their adaptation. Therefore, it is valuable to study which ontology parts have been extensively modified or remained unchanged. Users can monitor the evolution of an ontology to improve its further development or apply the knowledge in their applications. |
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Universität Leipzig, Institut für Informatik |
author_facet |
Universität Leipzig, Institut für Informatik Christen, Victor Hartung, Michael Groß, Anika |
author |
Christen, Victor Hartung, Michael Groß, Anika |
author_sort |
Christen, Victor |
title |
Region Evolution eXplorer |
title_short |
Region Evolution eXplorer |
title_full |
Region Evolution eXplorer |
title_fullStr |
Region Evolution eXplorer |
title_full_unstemmed |
Region Evolution eXplorer |
title_sort |
region evolution explorer |
publisher |
Universitätsbibliothek Leipzig |
publishDate |
2015 |
url |
http://nbn-resolving.de/urn:nbn:de:bsz:15-qucosa-170159 http://nbn-resolving.de/urn:nbn:de:bsz:15-qucosa-170159 http://www.qucosa.de/fileadmin/data/qucosa/documents/17015/OAP-2015-090-Christen.s13326-015-0020-6.pdf |
work_keys_str_mv |
AT christenvictor regionevolutionexplorer AT hartungmichael regionevolutionexplorer AT großanika regionevolutionexplorer |
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1716804560102621184 |