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REX – A Tool for Discovering Evolution Trends in Ontology Regions

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Data Integration in the Life Sciences (DILS 2014)

Part of the book series: Lecture Notes in Computer Science ((LNBI,volume 8574))

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Abstract

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. Here we present REX (Region Evolution Explorer) a web-based system for exploring the evolution of ontology parts (regions). REX provides an interactive and user-friendly interface to identify (un)stable regions in large life science ontologies and is available at http://www.izbi.de/rex .

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Christen, V., Groß, A., Hartung, M. (2014). REX – A Tool for Discovering Evolution Trends in Ontology Regions. In: Galhardas, H., Rahm, E. (eds) Data Integration in the Life Sciences. DILS 2014. Lecture Notes in Computer Science(), vol 8574. Springer, Cham. https://doi.org/10.1007/978-3-319-08590-6_9

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  • DOI: https://doi.org/10.1007/978-3-319-08590-6_9

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-08589-0

  • Online ISBN: 978-3-319-08590-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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