AMIA Annu Symp Proc - A family-based framework for supporting quality assurance of biomedical ontologies in BioPortal.

Tópicos

{ concept(1167) ontolog(924) domain(897) }
{ health(1844) social(1437) communiti(874) }
{ framework(1458) process(801) describ(734) }
{ problem(2511) optim(1539) algorithm(950) }
{ method(1557) propos(1049) approach(1037) }
{ ehr(2073) health(1662) electron(1139) }
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{ featur(3375) classif(2383) classifi(1994) }
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{ error(1145) method(1030) estim(1020) }
{ chang(1828) time(1643) increas(1301) }
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{ cost(1906) reduc(1198) effect(832) }
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{ gene(2352) biolog(1181) express(1162) }
{ first(2504) two(1366) second(1323) }
{ intervent(3218) particip(2042) group(1664) }
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{ time(1939) patient(1703) rate(768) }
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{ can(981) present(881) function(850) }
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{ decis(3086) make(1611) patient(1517) }
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{ activ(1452) weight(1219) physic(1104) }
{ method(2212) result(1239) propos(1039) }

Resumo

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 knowledge-content focus-from a structural standpoint leading to the formulation of ontology families. A family is defined as a set of ontologies satisfying some overarching condition regarding their structural features. Seven such families, comprising 186 ontologies, are identified. To increase efficiency, a new family-based QA framework is introduced in which an automated, uniform AN derivation technique and accompanying semi-automated, uniform QA regimen are applicable 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 demonstrated on the Cancer Chemoprevention BioPortal ontology.

Resumo Limpo

bioport contain ontolog qualiti assur qa critic abstract network an compact summar ontolog structur content use qa effort typic oneoff manner singl ontolog ontolog can characterizedindepend knowledgecont focusfrom structur standpoint lead formul ontolog famili famili defin set ontolog satisfi overarch condit regard structur featur seven famili compris ontolog identifi increas effici new familybas qa framework introduc autom uniform deriv techniqu accompani semiautom uniform qa regimen applic ontolog given famili specif across entir famili qa effort exploit familywid featur character set class like harbor error approach demonstr cancer chemoprevent bioport ontolog

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