Ontodog: a web-based ontology community view generation tool

Ontodog: a web-based ontology community view generation tool
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DOI:
10.1093/bioinformatics/btu008
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发表时间:
2014-05-01
期刊:
影响因子:
5.8
通讯作者:
He, Yongqun
He, Yongqun
中科院分区:
生物学3区
文献类型:
--
作者:
Zheng, Jie;Xiang, Zuoshuang;He, Yongqun

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生物医学本体通常非常庞大且复杂。特定的应用程序或社区可能只需要本体的子集。对于本体最终用户来说,希望拥有基于社区的标签,而不是本体开发人员生成的标签。 Ontodog是一个基于Web的系统,可以根据Excel输入生成本体子集,并支持生成本体社区视图,该视图被定义为源本体的整体或子集,具有用户指定的注释(包括用户首选标签)。 Ontodog 允许用户以最少的本体知识轻松生成社区视图,无需编程技能或安装。目前,包括所有 OBO Foundry 本体在内的 4100 个本体可用于根据用户需求生成视图。我们使用生物医学研究本体作为源本体,展示了 Ontodog 在生成社区观点方面的应用。
Biomedical ontologies are often very large and complex. Only a subset of the ontology may be needed for a specified application or community. For ontology end users, it is desirable to have community-based labels rather than the labels generated by ontology developers. Ontodog is a web-based system that can generate an ontology subset based on Excel input, and support generation of an ontology community view, which is defined as the whole or a subset of the source ontology with user-specified annotations including user-preferred labels. Ontodog allows users to easily generate community views with minimal ontology knowledge and no programming skills or installation required. Currently 4100 ontologies including all OBO Foundry ontologies are available to generate the views based on user needs. We demonstrate the application of Ontodog for the generation of community views using the Ontology for Biomedical Investigations as the source ontology.