J. F. Herrera-Cubides, Paulo Alonso Gaona-Garcia, Salvador Sánchez-Alonso
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引用次数: 5
摘要
数据管理平台为访问和管理Web上发布的数据提供了不同的服务，这些数据在建模和发布过程中具有不同的质量水平。对于低质量的建模数据，其在发布过程中的链接变得很差，产生较小的上下文，因此更受限制的LOD增长。在这个场景中，DataHub作为数据管理平台，允许发布不同特征的数据集。本文对Web of Data的现状进行了初步的回顾，在对DataHub上发布的DataSet进行探索的基础上，评估了关于初步研究的基本准则。
The data management platforms offer different services for access and management of data published on the Web, which can be found at different levels of quality in modeling and publishing. With a low quality modeling data, its link in the publishing process becomes poor, generating a minor context and therefore a more restricted LOD growth. In this scenario, DataHub as data management platform, allows the publication of DataSets under different characteristics. This article carries out a preliminary review on the state of the Web of Data, with base in the exploration of DataSet published in DataHub, evaluating basis criteria in order to obtain regarding preliminary study.
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