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Towards an architecture for managing semantic knowledge in semantic repositories

机译:迈向用于管理语义库中语义知识的体系结构

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Semantic models help to achieve semantic interoperability among sources of data and applications. The necessity to efficiently manage these types of objects has increased the number of specialised repositories, usually referred to as semantic databases or semantic repositories. Semantic repositories are the next frontier in managing big data. Semantic repositories and ontologies are growing and infiltrating many information zones and technology communications, as well as most application categories. They are attracting attention in many areas, including industry, healthcare, content management and life sciences, as an effective means of accomplishing complex information management tasks. An increasing number of project initiatives has been recorded which choose to formalise application knowledge using ontologies and semantic data representation. However, most semantic repositories are unable to effectively manage a semantic model. In this article, we build semantic data storage layout for semantic systems that provide optimised in terms of query performance and storage.
机译:语义模型有助于实现数据源和应用程序之间的语义互操作性。有效管理这些类型的对象的必要性增加了专用存储库的数量,这些专用存储库通常称为语义数据库或语义存储库。语义存储库是管理大数据的下一个领域。语义存储库和本体正在增长,并渗透到许多信息区域和技术通信以及大多数应用程序类别中。作为完成复杂的信息管理任务的有效方法,它们正在许多领域引起关注,包括工业,医疗保健,内容管理和生命科学。记录到越来越多的项目计划选择使用本体论和语义数据表示形式来规范应用程序知识。但是,大多数语义存储库无法有效地管理语义模型。在本文中,我们为语义系统构建语义数据存储布局,以在查询性能和存储方面提供优化。

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