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OLS 对话:本体查询服务的开源前端。

OLS dialog: an open-source front end to the ontology lookup service.

机构信息

Department of Informatics, University of Bergen, Bergen, Norway.

出版信息

BMC Bioinformatics. 2010 Jan 17;11:34. doi: 10.1186/1471-2105-11-34.

Abstract

BACKGROUND

With the growing amount of biomedical data available in public databases it has become increasingly important to annotate data in a consistent way in order to allow easy access to this rich source of information. Annotating the data using controlled vocabulary terms and ontologies makes it much easier to compare and analyze data from different sources. However, finding the correct controlled vocabulary terms can sometimes be a difficult task for the end user annotating these data.

RESULTS

In order to facilitate the location of the correct term in the correct controlled vocabulary or ontology, the Ontology Lookup Service was created. However, using the Ontology Lookup Service as a web service is not always feasible, especially for researchers without bioinformatics support. We have therefore created a Java front end to the Ontology Lookup Service, called the OLS Dialog, which can be plugged into any application requiring the annotation of data using controlled vocabulary terms, making it possible to find and use controlled vocabulary terms without requiring any additional knowledge about web services or ontology formats.

CONCLUSIONS

As a user-friendly open source front end to the Ontology Lookup Service, the OLS Dialog makes it straightforward to include controlled vocabulary support in third-party tools, which ultimately makes the data even more valuable to the biomedical community.

摘要

背景

随着公共数据库中可用的生物医学数据量不断增加,以一致的方式对数据进行注释变得越来越重要,以便能够轻松访问这一丰富的信息源。使用受控词汇术语和本体对数据进行注释,使得比较和分析来自不同来源的数据变得更加容易。然而,对于注释这些数据的最终用户来说,有时找到正确的受控词汇术语可能是一项困难的任务。

结果

为了方便在正确的受控词汇表或本体中找到正确的术语,创建了本体查询服务。然而,并非总是可以将 Ontology Lookup Service 作为 Web 服务使用,特别是对于没有生物信息学支持的研究人员来说。因此,我们创建了一个称为 OLS Dialog 的 Ontology Lookup Service 的 Java 前端,它可以插入到需要使用受控词汇术语注释数据的任何应用程序中,使得可以在无需任何关于 Web 服务或本体格式的额外知识的情况下找到和使用受控词汇术语。

结论

作为 Ontology Lookup Service 的用户友好的开源前端,OLS Dialog 使得在第三方工具中包含受控词汇支持变得非常简单,这最终使得数据对生物医学社区更具价值。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1565/2823706/9ace55bc9549/1471-2105-11-34-1.jpg

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