BLUSNO: A system for orientation, visualization, and quality assurance of SNOMED CT using abstraction networks

Christopher Ochs, Yehoshua Perl, James Geller

Research output: Contribution to journalConference articlepeer-review

Abstract

Biomedical ontologies are generally very large and complex. Their size and complexity make quality assurance a difficult and timeconsuming task. Compact networks called abstraction networks can be derived to summarize the content and structure of ontologies and support their quality assurance. The Biomedical Layout Utility for SNOMED CT (BLUSNO) is a system for automatically deriving and visualizing area and partial-area taxonomies, a dual-level abstraction network, for SNOMED CT. BLUSNO includes an interactive, dynamic environment for exploring taxonomies, a concept-centric browser, and other utilities for reviewing the taxonomies derived for SNOMED CT. BLUSNO is intended to serve as the starting point for a more generic system that will be used to create and visualize different kinds of abstraction networks for other ontologies. Copyright

Original languageEnglish (US)
Pages (from-to)128-129
Number of pages2
JournalCEUR Workshop Proceedings
Volume1060
StatePublished - Jan 1 2013
Event4th International Conference on Biomedical Ontology, ICBO 2013 - Montreal, Canada
Duration: Jul 7 2013Jul 12 2013

All Science Journal Classification (ASJC) codes

  • Computer Science(all)

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