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Provenance description of metadata application profiles for long-term maintenance of metadata schemas

机译:用于长期维护元数据模式的元数据应用程序配置文件的来源描述

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Purpose - Provenance information is crucial for consistent maintenance of metadata schemas over time. The purpose of this paper is to propose a provenance model named DSP-PROV to keep track of structural changes of metadata schemas. Design/methodology/approach - The DSP-PROV model is developed through applying the general provenance description standard PROV of the World Wide Web Consortium to the Dublin Core Application Profile. Metadata Application Profile of Digital Public Library of America is selected as a case study to apply the DSP-PROV model. Finally, this paper evaluates the proposed model by comparison between formal provenance description in DSP-PROV and semi-formal change log description in English. Findings - Formal provenance description in the DSP-PROV model has advantages over semi-formal provenance description in English to keep metadata schemas consistent over time. Research limitations/implications - The DSP-PROV model is applicable to keep track of the structural changes of metadata schema over time. Provenance description of other features of metadata schema such as vocabulary and encoding syntax are not covered. Originality/value - This study proposes a simple model for provenance description of structural features of metadata schemas based on a few standards widely accepted on the Web and shows the advantage of the proposed model to conventional semi-formal provenance descriptioa.
机译:目的-来源信息对于长期维护元数据模式至关重要。本文的目的是提出一个名为DSP-PROV的出处模型,以跟踪元数据模式的结构变化。设计/方法/方法-DSP-PROV模型是通过将万维网联合会的一般出处描述标准PROV应用于都柏林核心应用程序概要文件而开发的。选择了美国数字公共图书馆的元数据应用配置文件作为案例研究,以应用DSP-PROV模型。最后,本文通过比较DSP-PROV中的正式来源描述和英语中的半正式变更日志描述来评估提出的模型。调查结果-DSP-PROV模型中的正式出处描述比英语的半正式起因描述具有优势,可以使元数据架构随时间保持一致。研究局限性/含义-DSP-PROV模型适用于跟踪元数据模式随时间的结构变化。未涵盖元数据架构的其他功能(如词汇和编码语法)的来源描述。原创性/价值-这项研究基于网络上广泛接受的一些标准,提出了一个简单的模型来描述元数据模式的结构特征,并显示了该模型相对于常规半正式来源描述的优势。

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