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Architecture and usability of OntoKeeper, an ontology evaluation tool

Authors :
Muhammad Amith
Frank Manion
Chen Liang
Marcelline Harris
Dennis Wang
Yongqun He
Cui Tao
Source :
BMC Medical Informatics and Decision Making, Vol 19, Iss S4, Pp 1-18 (2019)
Publication Year :
2019
Publisher :
BMC, 2019.

Abstract

Abstract 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.

Details

Language :
English
ISSN :
14726947
Volume :
19
Issue :
S4
Database :
Directory of Open Access Journals
Journal :
BMC Medical Informatics and Decision Making
Publication Type :
Academic Journal
Accession number :
edsdoj.68ef9925a7af4ec1ac606f0450375e23
Document Type :
article
Full Text :
https://doi.org/10.1186/s12911-019-0859-z