Shacl4Bib:自定义验证图书馆数据

Péter Király
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引用次数: 0

摘要

形状约束语言(SHACL)是一种根据一系列条件验证 RDF 图形的正式语言。元数据质量评估框架(Metadata Quality Assessment Framework)遵循这一理念并实现了该语言的子集,提供了 SHACL4Bib:一种为非基于 RDF 格式(如 XML、CSV 和 JSON)的数据源定义类似 SHACL 规则的机制。QA 目录将这一概念进一步扩展到 MARC21、UNIMARC 和 PICA 数据。标准既可以用 YAML 或 JSON 配置文件定义,也可以用 Java 代码定义。图书馆可以根据用统一语言表达的标准验证自己的数据,从而提高了自定义验证流程的清晰度和可重用性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Shacl4Bib: custom validation of library data
The Shapes Constraint Language (SHACL) is a formal language for validating RDF graphs against a set of conditions. Following this idea and implementing a subset of the language, the Metadata Quality Assessment Framework provides Shacl4Bib: a mechanism to define SHACL-like rules for data sources in non-RDF based formats, such as XML, CSV and JSON. QA catalogue extends this concept further to MARC21, UNIMARC and PICA data. The criteria can be defined either with YAML or JSON configuration files or with Java code. Libraries can validate their data against criteria expressed in a unified language, that improves the clarity and the reusability of custom validation processes.
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