历时关联数据：结构化相关信息的长期保存
Diachronic Linked Data: Towards Long-Term Preservation of Structured Interrelated Information
摘要：
关联数据范式是在Web上发布、共享和连接数据的最有前途的技术之一，它为数据集成和互操作性提供了一种新的方法。然而，Web上分布的、相互连接的信息和服务源的激增对一致地管理大量大型数据集及其相互依赖性提出了重大的新挑战。在本文中，我们专注于保持不断变化的结构化互连数据的关键问题。我们认为，一些问题，阻碍应用程序和用户的时间方面是内在的链接数据。我们提出了一些真实的用例来激励我们的方法，我们讨论了出现的问题，并提出了解决方案的方向。
英文摘要：
The Linked Data Paradigm is one of the most promising technologies for publishing, sharing, and connecting data on the Web, and offers a new way for data integration and interoperability. However, the proliferation of distributed, inter-connected sources of information and services on the Web poses significant new challenges for managing consistently a huge number of large datasets and their interdependencies. In this paper we focus on the key problem of preserving evolving structured interlinked data. We argue that a number of issues that hinder applications and users are related to the temporal aspect that is intrinsic in linked data. We present a number of real use cases to motivate our approach, we discuss the problems that occur, and propose a direction for a solution.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
