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Semi-automated evaluation of biomedical ontologies for the biobanking domain based on competency questions.

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1
Department of Medical Informatics, Statistics and Health Economics, Medical University of Innsbruck, Innsbruck, Austria.

Abstract

BACKGROUND:

Biosample collections and biobank information systems have become a key enabler for medical research. Therefore it is important to identify potentially relevant ontologies to semantically enrich information related to the biobanking domain.

OBJECTIVES:

We present a three-stage semi-automated evaluation approach which allows identifying relevant ontologies for the biobanking domain based on competency questions.

METHODS:

After identifying candidate biobanking ontologies (Stage 1) and competency questions (Stage 2), a six-step lexical evaluation approach, which assesses the coverage of concepts, properties or instances defined by competency questions is suggested and described (Stage 3).

RESULTS:

We were able to perform a proof-of-concept evaluation of the OMIABIS ontology using our proposed three-stage approach together with a sample competency question.

CONCLUSION:

Our evaluation approach allows a swift evaluation of candidate ontology entities based on a search for higher hierarchy key terms that exist in comprehensive medical vocabularies in order to state the usability of specific ontologies for the biobanking domain.

PMID:
26063259
[Indexed for MEDLINE]
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