Deriving an abstraction network to support quality assurance in OCRe.

Christopher Ochs, Ankur Agrawal, Yehoshua Perl, Michael Halper, Samson W. Tu, Simona Carini, Ida Sim, Natasha Noy, Mark Musen, James Geller

Research output: Contribution to journalArticlepeer-review

15 Scopus citations

Abstract

An abstraction network is an auxiliary network of nodes and links that provides a compact, high-level view of an ontology. Such a view lends support to ontology orientation, comprehension, and quality-assurance efforts. A methodology is presented for deriving a kind of abstraction network, called a partial-area taxonomy, for the Ontology of Clinical Research (OCRe). OCRe was selected as a representative of ontologies implemented using the Web Ontology Language (OWL) based on shared domains. The derivation of the partial-area taxonomy for the Entity hierarchy of OCRe is described. Utilizing the visualization of the content and structure of the hierarchy provided by the taxonomy, the Entity hierarchy is audited, and several errors and inconsistencies in OCRe's modeling of its domain are exposed. After appropriate corrections are made to OCRe, a new partial-area taxonomy is derived. The generalizability of the paradigm of the derivation methodology to various families of biomedical ontologies is discussed.

Original languageEnglish (US)
Pages (from-to)681-689
Number of pages9
JournalUnknown Journal
Volume2012
StatePublished - Jan 1 2012

All Science Journal Classification (ASJC) codes

  • Medicine(all)

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