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Rights enforcement and licensing understanding for RDF stores aggregating open and private data sets

机译:对RDF存储的权限执行和许可理解,汇总了开放和私有数据集

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Several applications are going to aggregate data on triple stores coming from different data sets and presenting different licenses. Semantic queries should provide only allowed triples, while most of the RDF stores have strong limitations in providing support for access control, licensing, rights enforcement and supporting the developers in providing tutoring information about what is possible and what is not. In this paper, a specific solution is proposed for supporting developers in understanding the licensing level of the requested triples, and the RDF stores in enforcing rights. The proposed solutions can be integrated into a range of different RDF stores for removing their limitations and assisting developers. The proposed solution has been developed and tested in the case of large smart city solution called Km4City and adopted in a number of projects: Sii-Mobility SCN, RESOLUTE H2020 and REPLICATE H2020.
机译:几个应用程序将聚合来自不同数据集并提供不同许可证的三重存储上的数据。语义查询应仅提供允许的三元组,而大多数RDF存储在提供对访问控制,许可,权限实施的支持以及支持开发人员提供关于可能和不可行的补习信息方面具有强大的限制。在本文中,提出了一种特定的解决方案,以支持开发人员了解所请求的三元组的许可级别以及RDF存储权中的执行权。可以将建议的解决方案集成到各种不同的RDF存储中,以消除它们的限制并为开发人员提供帮助。拟议的解决方案已在称为Km4City的大型智能城市解决方案的情况下进行了开发和测试,并已在许多项目中采用:Sii-Mobility SCN,RESOLUTE H2020和REPLICATE H2020。

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