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Taxonomy-Based Approaches to Quality Assurance of Ontologies.


ABSTRACT: Ontologies are important components of health information management systems. As such, the quality of their content is of paramount importance. It has been proven to be practical to develop quality assurance (QA) methodologies based on automated identification of sets of concepts expected to have higher likelihood of errors. Four kinds of such sets (called QA-sets) organized around the themes of complex and uncommonly modeled concepts are introduced. A survey of different methodologies based on these QA-sets and the results of applying them to various ontologies are presented. Overall, following these approaches leads to higher QA yields and better utilization of QA personnel. The formulation of additional QA-set methodologies will further enhance the suite of available ontology QA tools.

SUBMITTER: Halper M 

PROVIDER: S-EPMC5660792 | biostudies-literature | 2017

REPOSITORIES: biostudies-literature

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Taxonomy-Based Approaches to Quality Assurance of Ontologies.

Halper Michael M   Perl Yehoshua Y   Ochs Christopher C   Zheng Ling L  

Journal of healthcare engineering 20171011


Ontologies are important components of health information management systems. As such, the quality of their content is of paramount importance. It has been proven to be practical to develop quality assurance (QA) methodologies based on automated identification of sets of concepts expected to have higher likelihood of errors. Four kinds of such sets (called QA-sets) organized around the themes of complex and uncommonly modeled concepts are introduced. A survey of different methodologies based on  ...[more]

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