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OTO: Ontology Term Organizer
BACKGROUND: The need to create controlled vocabularies such as ontologies for knowledge organization and access has been widely recognized in various domains. Despite the indispensable need of thorough domain knowledge in ontology construction, most software tools for ontology construction are desig...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4339750/ https://www.ncbi.nlm.nih.gov/pubmed/25887779 http://dx.doi.org/10.1186/s12859-015-0488-1 |
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author | Huang, Fengqiong Macklin, James A Cui, Hong Cole, Heather A Endara, Lorena |
author_facet | Huang, Fengqiong Macklin, James A Cui, Hong Cole, Heather A Endara, Lorena |
author_sort | Huang, Fengqiong |
collection | PubMed |
description | BACKGROUND: The need to create controlled vocabularies such as ontologies for knowledge organization and access has been widely recognized in various domains. Despite the indispensable need of thorough domain knowledge in ontology construction, most software tools for ontology construction are designed for knowledge engineers and not for domain experts to use. The differences in the opinions of different domain experts and in the terminology usages in source literature are rarely addressed by existing software. METHODS: OTO software was developed based on the Agile principles. Through iterations of software release and user feedback, new features are added and existing features modified to make the tool more intuitive and efficient to use for small and large data sets. The software is open source and built in Java. RESULTS: Ontology Term Organizer (OTO; http://biosemantics.arizona.edu/OTO/) is a user-friendly, web-based, consensus-promoting, open source application for organizing domain terms by dragging and dropping terms to appropriate locations. The application is designed for users with specific domain knowledge such as biology but not in-depth ontology construction skills. Specifically OTO can be used to establish is_a, part_of, synonym, and order relationships among terms in any domain that reflects the terminology usage in source literature and based on multiple experts’ opinions. The organized terms may be fed into formal ontologies to boost their coverage. All datasets organized on OTO are publicly available. CONCLUSION: OTO has been used to organize the terms extracted from thirty volumes of Flora of North America and Flora of China combined, in addition to some smaller datasets of different taxon groups. User feedback indicates that the tool is efficient and user friendly. Being open source software, the application can be modified to fit varied term organization needs for different domains. |
format | Online Article Text |
id | pubmed-4339750 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-43397502015-02-26 OTO: Ontology Term Organizer Huang, Fengqiong Macklin, James A Cui, Hong Cole, Heather A Endara, Lorena BMC Bioinformatics Software BACKGROUND: The need to create controlled vocabularies such as ontologies for knowledge organization and access has been widely recognized in various domains. Despite the indispensable need of thorough domain knowledge in ontology construction, most software tools for ontology construction are designed for knowledge engineers and not for domain experts to use. The differences in the opinions of different domain experts and in the terminology usages in source literature are rarely addressed by existing software. METHODS: OTO software was developed based on the Agile principles. Through iterations of software release and user feedback, new features are added and existing features modified to make the tool more intuitive and efficient to use for small and large data sets. The software is open source and built in Java. RESULTS: Ontology Term Organizer (OTO; http://biosemantics.arizona.edu/OTO/) is a user-friendly, web-based, consensus-promoting, open source application for organizing domain terms by dragging and dropping terms to appropriate locations. The application is designed for users with specific domain knowledge such as biology but not in-depth ontology construction skills. Specifically OTO can be used to establish is_a, part_of, synonym, and order relationships among terms in any domain that reflects the terminology usage in source literature and based on multiple experts’ opinions. The organized terms may be fed into formal ontologies to boost their coverage. All datasets organized on OTO are publicly available. CONCLUSION: OTO has been used to organize the terms extracted from thirty volumes of Flora of North America and Flora of China combined, in addition to some smaller datasets of different taxon groups. User feedback indicates that the tool is efficient and user friendly. Being open source software, the application can be modified to fit varied term organization needs for different domains. BioMed Central 2015-02-15 /pmc/articles/PMC4339750/ /pubmed/25887779 http://dx.doi.org/10.1186/s12859-015-0488-1 Text en © Huang et al.; licensee BioMed Central. 2015 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Software Huang, Fengqiong Macklin, James A Cui, Hong Cole, Heather A Endara, Lorena OTO: Ontology Term Organizer |
title | OTO: Ontology Term Organizer |
title_full | OTO: Ontology Term Organizer |
title_fullStr | OTO: Ontology Term Organizer |
title_full_unstemmed | OTO: Ontology Term Organizer |
title_short | OTO: Ontology Term Organizer |
title_sort | oto: ontology term organizer |
topic | Software |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4339750/ https://www.ncbi.nlm.nih.gov/pubmed/25887779 http://dx.doi.org/10.1186/s12859-015-0488-1 |
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