OntoNeuroBase: a multi-layered application ontology in neuroimaging
OntoNeuroBase: a multi-layered application ontology in neuroimaging
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发表时间：
2006-12
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通讯作者：
Lynda Temal;P. Lando;B. Gibaud;M. Dojat;G. Kassel;A. Lapujade
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作者：
Lynda Temal;P. Lando;B. Gibaud;M. Dojat;G. Kassel;A. Lapujade
OntoNeuroBase是一个正在NeuroBase项目中开发的应用本体，该项目旨在创建一个联邦系统，用于管理神经成像中的分布式和异构信息源。采用了一种特定的、多层次的、模块化的本体设计方法，我们使用多尔采作为基础本体以及三个核心本体：I&DA用于建模文档（文本和图像），COPS用于建模程序和软件，OntoKADS用于建模问题解决活动。在这里，我们报告我们如何建立OntoNeuroBase通过完善现有模块中的概念。神经影像学是一个非常活跃和快速发展的领域.这是必不可少的，以确保一个新开发的本体是与其他可用的本体兼容，并使新的本体扩展到各种神经科学的应用。这里报告的工作符合这些雄心勃勃的目标。
OntoNeuroBase is an application ontology that is being developed within the NeuroBase project, which seeks to create a federated system for the manage- ment of distributed and heterogeneous information sources in neuroimaging. Hav- ing adopted a specific, multi-layered, modular approach to o ntology design, we used DOLCE as a foundational ontology together with three core ontologies: I&DA for modelling documents (texts and images), COPS for modelling programs and software and OntoKADS for modelling problem solving activities. Here, we report on how we built OntoNeuroBase by refining the concepts present in the e xisting modules. Neu- roimaging is a very active and rapidly changing field. It is es sential to ensure that a newly developed ontology is compatible with other available ontologies and to enable extension of the new ontology to a variety of neuroscience applications. The work reported here is in line with these ambitious objectives.