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  1. Baroncini, S.; Sartini, B.; Erp, M. Van; Tomasi, F.; Gangemi, A.: Is dc:subject enough? : A landscape on iconography and iconology statements of knowledge graphs in the semantic web (2023) 0.02
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    Abstract
    In 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/approach This 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. Findings This 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/value The 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.
    Theme
    Semantic Web
  2. Miller, S.: Introduction to ontology concepts and terminology : DC-2013 Tutorial, September 2, 2013. (2013) 0.01
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    Content
    Tutorial topics and outline 1. Tutorial Background Overview The Semantic Web, Linked Data, and the Resource Description Framework 2. Ontology Basics and RDFS Tutorial Semantic modeling, domain ontologies, and RDF Vocabulary Description Language (RDFS) concepts and terminology Examples: domain ontologies, models, and schemas Exercises 3. OWL Overview Tutorial Web Ontology Language (OWL): selected concepts and terminology Exercises
  3. Garshol, L.M.: Metadata? Thesauri? Taxonomies? Topic Maps! : making sense of it all (2005) 0.01
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    Abstract
    The task of an information architect is to create web sites where users can actually find the information they are looking for. As the ocean of information rises and leaves what we seek ever more deeply buried in what we don't seek, this discipline becomes ever more relevant. Information architecture involves many different aspects of web site creation and organization, but its principal tools are information organization techniques developed in other disciplines. Most of these techniques come from library science, such as thesauri, taxonomies, and faceted classification. Topic maps are a relative newcomer to this area and bring with them the promise of better-organized web sites, compared to what is possible with existing techniques. However, it is not generally understood how topic maps relate to the traditional techniques, and what advantages and disadvantages they have, compared to these techniques. The aim of this paper is to help build a better understanding of these issues.
  4. Renear, A.H.; Wickett, K.M.; Urban, R.J.; Dubin, D.; Shreeves, S.L.: Collection/item metadata relationships (2008) 0.00
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    Source
    Metadata for semantic and social applications : proceedings of the International Conference on Dublin Core and Metadata Applications, Berlin, 22 - 26 September 2008, DC 2008: Berlin, Germany / ed. by Jane Greenberg and Wolfgang Klas