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Link maintenance for integrity in linked open data evolution: Literature survey and open challenges
Semantic Web ( IF 3 ) Pub Date : 2020-09-28 , DOI: 10.3233/sw-200398
Andre Gomes Regino 1 , Julio Cesar dos Reis 1, 2 , Rodrigo Bonacin 3 , Ahsan Morshed 4 , Timos Sellis 5
Affiliation  

RDF data has been extensively deployed describing various types of resources in a structured way. Links between data elements described by RDF models stand for the core of Semantic Web. The rising amount of structured data published in public RDF repositories, also known as Linked Open Data, elucidates the success of the global and unified dataset proposed by the vision of the Semantic Web. Nowadays, semi-automatic algorithms build connections among these datasets by exploring a variety of methods. Interconnected open data demands automatic methods and tools to maintain their consistency over time. The update of linked data is considered as key process due to the evolutionary characteristic of such structured datasets. However, data changing operations might influence well-formed links, which turns difficult to maintain the consistencies of connections over time. In this article, we propose a thorough survey that provides a systematic review of the state of the art in link maintenance in linked open data evolution scenario. We conduct a detailed analysis of the literature for characterising and understanding methods and algorithms responsible for detecting, fixing and updating links between RDF data. Our investigation provides a categorisation of existing approaches as well as describes and discusses existing studies. The results reveal an absence of comprehensive solutions suited to fully detect, warn and automatically maintain the consistency of linked data over time.

中文翻译:

链接维护以确保链接式开放数据演进中的完整性:文献调查和开放式挑战

RDF数据已被广泛部署,以结构化方式描述各种类型的资源。RDF模型描述的数据元素之间的链接代表着语义Web的核心。在公共RDF存储库中发布的结构化数据(也称为链接开放数据)的数量不断增加,说明了语义网的愿景提出的全局和统一数据集的成功。如今,半自动算法通过探索各种方法在这些数据集之间建立连接。互连的开放数据需要自动的方法和工具来保持其随时间的一致性。由于这种结构化数据集的演化特性,链接数据的更新被视为关键过程。但是,数据更改操作可能会影响格式正确的链接,随着时间的流逝,很难保持连接的一致性。在本文中,我们提出了一项详尽的调查报告,该报告对链接的开放数据演进方案中的链接维护方面的最新技术进行了系统的回顾。我们对文献进行了详细的分析,以表征和理解负责检测,修复和更新RDF数据之间的链接的方法和算法。我们的调查提供了现有方法的分类,并描述和讨论了现有研究。结果表明,缺乏适用于随着时间的推移全面检测,警告和自动维护链接数据一致性的全面解决方案。我们建议进行彻底的调查,以对链接的开放数据演进方案中的链接维护技术进行系统的回顾。我们对文献进行了详细的分析,以表征和理解负责检测,修复和更新RDF数据之间的链接的方法和算法。我们的调查提供了现有方法的分类,并描述和讨论了现有研究。结果表明,缺乏适用于随着时间的推移全面检测,警告和自动维护链接数据一致性的全面解决方案。我们建议进行彻底的调查,以对链接的开放数据演进方案中的链接维护技术进行系统的回顾。我们对文献进行了详细的分析,以表征和理解负责检测,修复和更新RDF数据之间的链接的方法和算法。我们的调查提供了现有方法的分类,并描述和讨论了现有研究。结果表明,缺乏适用于随着时间的推移全面检测,警告和自动维护链接数据一致性的全面解决方案。我们的调查提供了现有方法的分类,并描述和讨论了现有研究。结果表明,缺乏适用于随着时间的推移全面检测,警告和自动维护链接数据一致性的全面解决方案。我们的调查提供了现有方法的分类,并描述和讨论了现有研究。结果表明,缺乏适用于随着时间的推移全面检测,警告和自动维护链接数据一致性的全面解决方案。
更新日期:2020-09-30
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