A Wikibase Model for Premodern Manuscript Metadata Harmonization, Linked Data Integration, and Discovery

IF 2.1 3区 计算机科学 Q3 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS ACM Journal on Computing and Cultural Heritage Pub Date : 2023-05-16 DOI:10.1145/3594723
M. Koho, L. Coladangelo, Lynn Ransom, Doug Emery
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引用次数: 0

Abstract

To facilitate discovery of premodern manuscripts in US memory institutions, Digital Scriptorium, a growing consortium of over thirty-five institutional members representing American libraries, museums, and other cultural heritage institutions, has developed a digital platform for an online national union catalog. The platform will allow low-barrier and efficient collection, aggregation, and enrichment of member metadata and sustainably publish it as Linked Open Data. This article describes the methods and principles behind the data model development and the decision to use Wikibase. The results of the prototype implementation and testing phase demonstrate the practicality and sustainability of Digital Scriptorium’s approach to building an online national union catalog based on Linked Open Data technologies and practices.
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一个用于前现代手稿元数据协调、关联数据集成和发现的Wikibase模型
为了促进在美国记忆机构中发现前现代手稿,数字Scriptorium,一个由代表美国图书馆,博物馆和其他文化遗产机构的35个机构成员组成的不断发展的联盟,已经开发了一个在线国家联盟目录的数字平台。该平台将允许低门槛、高效地收集、聚合和丰富成员元数据,并将其作为关联开放数据持续发布。本文描述了数据模型开发背后的方法和原则,以及使用Wikibase的决定。原型实施和测试阶段的结果证明了Digital Scriptorium基于关联开放数据技术和实践构建在线国家联盟目录的方法的实用性和可持续性。
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来源期刊
ACM Journal on Computing and Cultural Heritage
ACM Journal on Computing and Cultural Heritage Arts and Humanities-Conservation
CiteScore
4.60
自引率
8.30%
发文量
90
期刊介绍: ACM Journal on Computing and Cultural Heritage (JOCCH) publishes papers of significant and lasting value in all areas relating to the use of information and communication technologies (ICT) in support of Cultural Heritage. The journal encourages the submission of manuscripts that demonstrate innovative use of technology for the discovery, analysis, interpretation and presentation of cultural material, as well as manuscripts that illustrate applications in the Cultural Heritage sector that challenge the computational technologies and suggest new research opportunities in computer science.
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