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How to Trace and Revise Identities

机译:如何追踪和修改身份

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The Entity Name System (ENS) is a service aiming at providing globally unique URIs for all kinds of real-world entities such as persons, locations and products, based on descriptions of such entities. Because entity descriptions available to the ENS for deciding on entity identity - Do two entity descriptions refer to the same real-world entity? - are changing over time, the system has to revise its past decisions: One entity has been given two different URIs or two entities have been attributed the same URL The question we have to investigate in this context is then: How do we propagate entity decision revisions to the clients which make use of the URIs provided by the ENS? In this paper we propose a solution which relies on labelling the IDs with additional history information. These labels allow clients to locally detect deprecated URIs they are using and also merge IDs referring to the same real-world entity without needing to consult the ENS. Making update requests to the ENS only for the IDs detected as deprecated considerably reduces the number of update requests, at the cost of a decrease in uniqueness quality. We investigate how much the number of update requests decreases using ID history labelling, as well as how this impacts the uniqueness of the IDs on the client. For the experiments we use both artificially generated entity revision histories as well as a real case study based on the revision history of the Dutch and Simple English Wikipedia.
机译:实体名称系统(ENS)是旨在为各种现实世界的实体,如人,地点和产品的基础上,这些实体的描述提供全球唯一的URI的服务。由于提供给ENS的决定实体身份实体描述 - 做两实体的描述指向同一个现实世界的实体? - 随时间变化,系统必须修改其过去的决定:一个实体已经给出了两个不同的URI或两个实体已归入相同的URL,我们必须在这方面,调查的问题则是:我们如何繁殖实体决定修订其使用由ENS提供的URI的客户端?在本文中,我们提出这依赖于额外的历史信息标签的ID的解决方案。这些标签允许客户端在本地检测过时的URI,他们正在使用,并合并标识指的是同真实世界的实体,而无需咨询ENS。制作更新请求的唯一的ID检测到的弃用大大降低了更新请求的数量,在独特的品质降低的成本ENS。我们调查了多少更新请求的数量减少使用ID标签的历史,以及如何影响该客户端上的ID的唯一性。在实验中,我们同时使用人工生成的实体修订历史记录,以及基于荷兰和简单的英文维基百科的修订历史一个真实的案例研究。

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