A FamilyBased Framework for Supporting Quality Assurance of BiomedicalOntologies in BioPortal

AMIA 2013 Annual Symposium

Zhe He ; MS1 ; Christopher Ochs ; MS1 ; Ankur Agrawal ; PhD2 ; Yehoshua Perl ; PhD1 ; Dimitris Zeginis ; MS3 ; Konstantinos Tarabanis ; PhD3 ; Gai Elhanan ; MD4 ; Michael Halper ; PhD1 ; Natasha Noy ; PhD5 ; James Geller ; PhD1

PID  :  122645

来源: CEUR

【 摘 要 】

BioPortal contains over 300 ontologies, for which quality assurance (QA) is critical. Abstraction networks (ANs),compact summarizations of ontology structure and content, have been used in such QA efforts, typically in a “one off” manner for a single ontology. Ontologies can be characterized—independently of knowledgecontent focus— from a structural standpoint leading to the formulation of ontology families. A family is defined as a set ofontologies satisfying some overarching condition regarding their structural features. Seven such families,comprising 186 ontologies, are identified. To increase efficiency, a new familybased QA framework is introduced inwhich an automated, uniform AN derivation technique and accompanying semiautomated, uniform QA regimen areapplicable to the ontologies of a given family. Specifically, across an entire family, the QA efforts exploit family wide AN features in the characterization of sets of classes that are more likely to harbor errors. The approach is