Architecture and usability of OntoKeeper, an ontology evaluation tool.
Biomedical ontologies
Knowledge engineering
Knowledge management
Ontology auditing
Quality evaluation
Semantic web
Semiotics
Usability analysis
Journal
BMC medical informatics and decision making
ISSN: 1472-6947
Titre abrégé: BMC Med Inform Decis Mak
Pays: England
ID NLM: 101088682
Informations de publication
Date de publication:
08 08 2019
08 08 2019
Historique:
entrez:
9
8
2019
pubmed:
9
8
2019
medline:
25
6
2020
Statut:
epublish
Résumé
The existing community-wide bodies of biomedical ontologies are known to contain quality and content problems. Past research has revealed various errors related to their semantics and logical structure. Automated tools may help to ease the ontology construction, maintenance, assessment and quality assurance processes. However, there are relatively few tools that exist that can provide this support to knowledge engineers. We introduce OntoKeeper as a web-based tool that can automate quality scoring for ontology developers. We enlisted 5 experienced ontologists to test the tool and then administered the System Usability Scale to measure their assessment. In this paper, we present usability results from 5 ontologists revealing high system usability of OntoKeeper, and use-cases that demonstrate its capabilities in previous published biomedical ontology research. To the best of our knowledge, OntoKeeper is the first of a few ontology evaluation tools that can help provide ontology evaluation functionality for knowledge engineers with good usability.
Sections du résumé
BACKGROUND
The existing community-wide bodies of biomedical ontologies are known to contain quality and content problems. Past research has revealed various errors related to their semantics and logical structure. Automated tools may help to ease the ontology construction, maintenance, assessment and quality assurance processes. However, there are relatively few tools that exist that can provide this support to knowledge engineers.
METHOD
We introduce OntoKeeper as a web-based tool that can automate quality scoring for ontology developers. We enlisted 5 experienced ontologists to test the tool and then administered the System Usability Scale to measure their assessment.
RESULTS
In this paper, we present usability results from 5 ontologists revealing high system usability of OntoKeeper, and use-cases that demonstrate its capabilities in previous published biomedical ontology research.
CONCLUSION
To the best of our knowledge, OntoKeeper is the first of a few ontology evaluation tools that can help provide ontology evaluation functionality for knowledge engineers with good usability.
Identifiants
pubmed: 31391056
doi: 10.1186/s12911-019-0859-z
pii: 10.1186/s12911-019-0859-z
pmc: PMC6686219
doi:
Types de publication
Journal Article
Research Support, N.I.H., Extramural
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
152Subventions
Organisme : NLM NIH HHS
ID : R01 LM011829
Pays : United States
Organisme : NHGRI NIH HHS
ID : U01 HG009454
Pays : United States
Références
J Biomed Semantics. 2017 Apr 24;8(1):17
pubmed: 28438189
Stud Health Technol Inform. 2017;245:838-842
pubmed: 29295217
J Biomed Inform. 2018 Apr;80:1-13
pubmed: 29462669