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Region Evolution eXplorer: a tool for discovering evolution trends in ontology regions

Authors :
Christen, Victor
Hartung, Michael
Groß, Anika
Universität Leipzig
BioMed Central
Source :
Journal of biomedical semantics 2015, 26 (6)
Publication Year :
2015

Abstract

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.

Details

Language :
English
Database :
OpenAIRE
Journal :
Journal of biomedical semantics 2015, 26 (6)
Accession number :
edsair.dedup.wf.001..6927bb1379b7fc1e0a98df04f5bf6a4a