Using a Metadata Schema Registry in the National Digital Data Archive of Hungary

Fülöp, Csaba; Kiss, Gergely; Kovács, László; Micsik, András

doi:10.1007/11551362_28

Cited by 1 publication

(1 citation statement)

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“…It is interesting to note that, despite having a perfect score in references to taxonomies of art and culture, Europeana does not have any specific property that links an artwork to a taxonomy (it uses dc:subject) which decreased the score obtained in the schema granularity metric. Finally, the National Data Archive of Hungary (Fülöp et al ., 2005) scores worst in the general categories, given the absence of subjects expressed as URIs, the only use of dc:subject to describe icon statements and the complete absence of references to taxonomies.…”

Section: Resultsmentioning

confidence: 99%

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

Baroncini

Sartini

Erp³

et al. 2023

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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.

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Section: Resultsmentioning

confidence: 99%