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A model driven approach for the development of metadata editors, applicability to the annotation of geographic information resources

机译:用于元数据编辑器开发的模型驱动方法,适用于地理信息资源的注释

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Metadata are a key element for the development of information infrastructures because they facilitate the semantic description of contents and services. However, the diversity and heterogeneity of metadata standards have become a barrier for the generation of these metadata. Many metadata editors are not useful anymore because they do not support the latest version of metadata standards or the new profiles arisen in the market. Thus, this work proposes a model driven approach for the development of metadata editors, more focused on the generic treatment of metadata models than on the development of specific edition forms for a reduced set of metadata standards. This approach has been tested in the context of Spatial Data Infrastructures for the development of an Open Source tool called CatMDEdit. Additionally, the approach could be also applied to improve the efficiency of any metadata editor using a metamodeling development strategy.
机译:元数据是信息基础结构发展的关键元素,因为它们有助于内容和服务的语义描述。但是,元数据标准的多样性和异构性已成为这些元数据生成的障碍。许多元数据编辑器不再有用,因为它们不支持最新版本的元数据标准或市场上出现的新配置文件。因此,这项工作为元数据编辑器的开发提出了一种模型驱动的方法,该方法更关注于元数据模型的通用处理,而不是针对减少的元数据标准集的特定版本形式的开发。该方法已经在空间数据基础结构的环境中进行了测试,以开发称为CatMDEdit的开源工具。此外,该方法还可用于使用元模型开发策略来提高任何元数据编辑器的效率。

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