Modulated evaluation metrics for drug-based ontologies

Abstract Background Research for ontology evaluation is scarce. If biomedical ontological datasets and knowledgebases are to be widely used, there needs to be quality control and evaluation for the content and structure of the ontology. This paper introduces how to effectively utilize a semiotic-ins...

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Main Authors: Muhammad Amith, Cui Tao
Format: Article
Language:English
Published: BMC 2017-04-01
Series:Journal of Biomedical Semantics
Subjects:
Online Access:http://link.springer.com/article/10.1186/s13326-017-0124-2
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author Muhammad Amith
Cui Tao
author_facet Muhammad Amith
Cui Tao
author_sort Muhammad Amith
collection DOAJ
description Abstract Background Research for ontology evaluation is scarce. If biomedical ontological datasets and knowledgebases are to be widely used, there needs to be quality control and evaluation for the content and structure of the ontology. This paper introduces how to effectively utilize a semiotic-inspired approach to ontology evaluation, specifically towards drug-related ontologies hosted on the National Center for Biomedical Ontology BioPortal. Results Using the semiotic-based evaluation framework for drug-based ontologies, we adjusted the quality metrics based on the semiotic features of drug ontologies. Then, we compared the quality scores before and after tailoring. The scores revealed a more precise measurement and a closer distribution compared to the before-tailoring. Conclusion The results of this study reveal that a tailored semiotic evaluation produced a more meaningful and accurate assessment of drug-based ontologies, lending to the possible usefulness of semiotics in ontology evaluation.
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spelling doaj.art-3a4343119da04a08aeb01de9cebdd0382022-12-21T19:03:35ZengBMCJournal of Biomedical Semantics2041-14802017-04-01811810.1186/s13326-017-0124-2Modulated evaluation metrics for drug-based ontologiesMuhammad Amith0Cui Tao1School of Biomedical Informatics, University of Texas Health Science CenterSchool of Biomedical Informatics, University of Texas Health Science CenterAbstract Background Research for ontology evaluation is scarce. If biomedical ontological datasets and knowledgebases are to be widely used, there needs to be quality control and evaluation for the content and structure of the ontology. This paper introduces how to effectively utilize a semiotic-inspired approach to ontology evaluation, specifically towards drug-related ontologies hosted on the National Center for Biomedical Ontology BioPortal. Results Using the semiotic-based evaluation framework for drug-based ontologies, we adjusted the quality metrics based on the semiotic features of drug ontologies. Then, we compared the quality scores before and after tailoring. The scores revealed a more precise measurement and a closer distribution compared to the before-tailoring. Conclusion The results of this study reveal that a tailored semiotic evaluation produced a more meaningful and accurate assessment of drug-based ontologies, lending to the possible usefulness of semiotics in ontology evaluation.http://link.springer.com/article/10.1186/s13326-017-0124-2OntologyOntology evaluationQuality assessmentDrug ontologiesSemioticsMetrics
spellingShingle Muhammad Amith
Cui Tao
Modulated evaluation metrics for drug-based ontologies
Journal of Biomedical Semantics
Ontology
Ontology evaluation
Quality assessment
Drug ontologies
Semiotics
Metrics
title Modulated evaluation metrics for drug-based ontologies
title_full Modulated evaluation metrics for drug-based ontologies
title_fullStr Modulated evaluation metrics for drug-based ontologies
title_full_unstemmed Modulated evaluation metrics for drug-based ontologies
title_short Modulated evaluation metrics for drug-based ontologies
title_sort modulated evaluation metrics for drug based ontologies
topic Ontology
Ontology evaluation
Quality assessment
Drug ontologies
Semiotics
Metrics
url http://link.springer.com/article/10.1186/s13326-017-0124-2
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