Is dc:subject enough? A landscape on iconography and iconology statements of knowledge graphs in the semantic web

IF 1.7 3区 管理学 Q2 INFORMATION SCIENCE & LIBRARY SCIENCE
Sofia Baroncini, Bruno Sartini, Marieke Van Erp, Francesca Tomasi, Aldo Gangemi
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引用次数: 2

Abstract

PurposeIn the last few years, the size of Linked Open Data (LOD) describing artworks, in general or domain-specific Knowledge Graphs (KGs), is gradually increasing. This provides (art-)historians and Cultural Heritage professionals with a wealth of information to explore. Specifically, structured data about iconographical and iconological (icon) aspects, i.e. information about the subjects, concepts and meanings of artworks, are extremely valuable for the state-of-the-art of computational tools, e.g. content recognition through computer vision. Nevertheless, a data quality evaluation for art domains, fundamental for data reuse, is still missing. The purpose of this study is filling this gap with an overview of art-historical data quality in current KGs with a focus on the icon aspects.Design/methodology/approachThis study’s analyses are based on established KG evaluation methodologies, adapted to the domain by addressing requirements from art historians’ theories. The authors first select several KGs according to Semantic Web principles. Then, the authors evaluate (1) their structures’ suitability to describe icon information through quantitative and qualitative assessment and (2) their content, qualitatively assessed in terms of correctness and completeness.FindingsThis study’s results reveal several issues on the current expression of icon information in KGs. The content evaluation shows that these domain-specific statements are generally correct but often not complete. The incompleteness is confirmed by the structure evaluation, which highlights the unsuitability of the KG schemas to describe icon information with the required granularity.Originality/valueThe main contribution of this work is an overview of the actual landscape of the icon information expressed in LOD. Therefore, it is valuable to cultural institutions by providing them a first domain-specific data quality evaluation. Since this study’s results suggest that the selected domain information is underrepresented in Semantic Web datasets, the authors highlight the need for the creation and fostering of such information to provide a more thorough art-historical dimension to LOD.
dc:subject够了吗?语义网知识图的图像学和图像学表述概述
在过去的几年里,描述艺术品的关联开放数据(LOD)的大小,一般或特定领域的知识图(KGs),正在逐渐增加。这为(艺术)历史学家和文化遗产专家提供了丰富的信息来探索。具体来说,关于图像学和图像学(图标)方面的结构化数据,即关于艺术作品的主题、概念和含义的信息,对于最先进的计算工具非常有价值,例如通过计算机视觉进行内容识别。然而,艺术领域的数据质量评估仍然缺失,这是数据重用的基础。本研究的目的是通过对当前KGs中艺术历史数据质量的概述来填补这一空白,重点关注图标方面。设计/方法/方法本研究的分析基于既定的KG评估方法,通过解决艺术史学家理论的要求而适应该领域。作者首先根据语义网原则选择了几个kg。然后,作者通过定量和定性评价(1)其结构描述图标信息的适宜性;(2)其内容,定性评价其正确性和完整性。本研究的结果揭示了目前KGs中图标信息表达的几个问题。内容评估表明,这些特定领域的陈述总体上是正确的,但往往不完整。结构评估证实了这种不完整性,它突出了KG模式不适合用所需的粒度来描述图标信息。这项工作的主要贡献是概述了LOD中所表达的图标信息的实际景观。因此,为文化机构提供第一个特定领域的数据质量评估是有价值的。由于这项研究的结果表明,所选择的领域信息在语义网数据集中的代表性不足,因此作者强调需要创建和培养这些信息,以便为LOD提供更全面的艺术历史维度。
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来源期刊
Journal of Documentation
Journal of Documentation INFORMATION SCIENCE & LIBRARY SCIENCE-
CiteScore
4.20
自引率
14.30%
发文量
72
期刊介绍: The scope of the Journal of Documentation is broadly information sciences, encompassing all of the academic and professional disciplines which deal with recorded information. These include, but are certainly not limited to: ■Information science, librarianship and related disciplines ■Information and knowledge management ■Information and knowledge organisation ■Information seeking and retrieval, and human information behaviour ■Information and digital literacies
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