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TermGenie——一个用于基于模式的本体类生成的网络应用程序。

TermGenie - a web-application for pattern-based ontology class generation.

作者信息

Dietze Heiko, Berardini Tanya Z, Foulger Rebecca E, Hill David P, Lomax Jane, Osumi-Sutherland David, Roncaglia Paola, Mungall Christopher J

机构信息

Genomics Division, Lawrence Berkeley National Laboratory, 1 Cyclotron Road, Berkeley, CA 94720 USA.

The Arabidopsis Information Resource, Phoenix Bioinformatics, Redwood City, CA 94063 USA.

出版信息

J Biomed Semantics. 2014 Dec 11;5:48. doi: 10.1186/2041-1480-5-48. eCollection 2014.

Abstract

BACKGROUND

Biological ontologies are continually growing and improving from requests for new classes (terms) by biocurators. These ontology requests can frequently create bottlenecks in the biocuration process, as ontology developers struggle to keep up, while manually processing these requests and create classes.

RESULTS

TermGenie allows biocurators to generate new classes based on formally specified design patterns or templates. The system is web-based and can be accessed by any authorized curator through a web browser. Automated rules and reasoning engines are used to ensure validity, uniqueness and relationship to pre-existing classes. In the last 4 years the Gene Ontology TermGenie generated 4715 new classes, about 51.4% of all new classes created. The immediate generation of permanent identifiers proved not to be an issue with only 70 (1.4%) obsoleted classes.

CONCLUSION

TermGenie is a web-based class-generation system that complements traditional ontology development tools. All classes added through pre-defined templates are guaranteed to have OWL equivalence axioms that are used for automatic classification and in some cases inter-ontology linkage. At the same time, the system is simple and intuitive and can be used by most biocurators without extensive training.

摘要

背景

生物本体随着生物编目员对新类别(术语)的需求而不断发展和完善。这些本体需求常常会在生物编目过程中造成瓶颈,因为本体开发者在手动处理这些需求并创建类别时难以跟上步伐。

结果

TermGenie允许生物编目员基于正式指定的设计模式或模板生成新类别。该系统基于网络,任何授权的编目员都可以通过网络浏览器访问。使用自动化规则和推理引擎来确保有效性、唯一性以及与现有类别的关系。在过去4年中,基因本体TermGenie生成了4715个新类别,约占所有创建的新类别的51.4%。事实证明,立即生成永久标识符并非问题,只有70个(1.4%)类别被废弃。

结论

TermGenie是一个基于网络的类别生成系统,它补充了传统的本体开发工具。通过预定义模板添加的所有类别都保证具有用于自动分类以及在某些情况下进行本体间链接的OWL等价公理。同时,该系统简单直观,大多数生物编目员无需大量培训即可使用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3e11/4417543/b8d35dca018f/13326_2014_214_Fig1_HTML.jpg

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