Search (12 results, page 1 of 1)

  • × language_ss:"e"
  • × theme_ss:"Metadaten"
  • × type_ss:"a"
  • × year_i:[2020 TO 2030}
  1. Morrow, G.; Swire-Thompson, B.; Montgomery Polny, J.; Kopec, M.; Wihbey, J.P.: ¬The emerging science of content labeling : contextualizing social media content moderation (2022) 0.00 
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    Abstract
    In the online information ecosystem, a content label is an attachment to a piece of content intended to contextualize that content for the viewer. Content labels are information about information, such as fact-checks or sensitive content warnings. Research into content labeling is nascent, but growing; researchers have made strides toward understanding labeling best practices to deal with issues such as disinformation, and misleading content that may affect everything from voting to health. To make this review tractable, we focus on compiling the literature that can contextualize labeling effects and consequences. This review summarizes the central labeling literature, highlights gaps for future research, discusses considerations for social media, and explores definitions toward a taxonomy. Specifically, this article discusses the particulars of content labels, their presentation, and the effects of various labels. The current literature can guide the usage of labels on social media platforms and inform public debate over platform moderation.
    Source
    Journal of the Association for Information Science and Technology. 73(2022) no.10, S.1365-1386
  2. 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) 0.00 
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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.
  3. Zavalin, V.: Exploration of subject and genre representation in bibliographic metadata representing works of fiction for children and young adults (2024) 0.00 
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    Abstract
    This study examines subject and genre representation in metadata that describes information resources created for children and young adult audiences. Both quantitative and limited qualitative analyses were applied to the analysis of WorldCat records collected in 2021 and contributed by the Children's and Young Adults' Cataloging Program at the US Library of Congress. This dataset contains records created several years prior to the data collection point and edited by various OCLC member institutions. Findings provide information on the level and patterns of application of these kinds of metadata important for information access, with a focus on the fields, subfields, and controlled vocabularies used. The discussion of results includes a detailed evaluation of genre and subject metadata quality (accuracy, completeness, and consistency).
  4. Skare, R.: Paratext (2020) 0.00 
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    Abstract
    This article presents Gérard Genette's concept of the paratext by defining the term and by describing its characteristics. The use of the concept in disciplines other than literary studies and for media other than printed books is discussed. The last section shows the relevance of the concept for library and information science in general and for knowledge organization, in which paratext in particular is connected to the concept "metadata."
  5. Yang, T.-H.; Hsieh, Y.-L.; Liu, S.-H.; Chang, Y.-C.; Hsu, W.-L.: ¬A flexible template generation and matching method with applications for publication reference metadata extraction (2021) 0.00 
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    Abstract
    Conventional rule-based approaches use exact template matching to capture linguistic information and necessarily need to enumerate all variations. We propose a novel flexible template generation and matching scheme called the principle-based approach (PBA) based on sequence alignment, and employ it for reference metadata extraction (RME) to demonstrate its effectiveness. The main contributions of this research are threefold. First, we propose an automatic template generation that can capture prominent patterns using the dominating set algorithm. Second, we devise an alignment-based template-matching technique that uses a logistic regression model, which makes it more general and flexible than pure rule-based approaches. Last, we apply PBA to RME on extensive cross-domain corpora and demonstrate its robustness and generality. Experiments reveal that the same set of templates produced by the PBA framework not only deliver consistent performance on various unseen domains, but also surpass hand-crafted knowledge (templates). We use four independent journal style test sets and one conference style test set in the experiments. When compared to renowned machine learning methods, such as conditional random fields (CRF), as well as recent deep learning methods (i.e., bi-directional long short-term memory with a CRF layer, Bi-LSTM-CRF), PBA has the best performance for all datasets.
    Source
    Journal of the Association for Information Science and Technology. 72(2021) no.1, S.32-45
  6. Koho, M.; Burrows, T.; Hyvönen, E.; Ikkala, E.; Page, K.; Ransom, L.; Tuominen, J.; Emery, D.; Fraas, M.; Heller, B.; Lewis, D.; Morrison, A.; Porte, G.; Thomson, E.; Velios, A.; Wijsman, H.: Harmonizing and publishing heterogeneous premodern manuscript metadata as Linked Open Data (2022) 0.00 
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    Abstract
    Manuscripts are a crucial form of evidence for research into all aspects of premodern European history and culture, and there are numerous databases devoted to describing them in detail. This descriptive information, however, is typically available only in separate data silos based on incompatible data models and user interfaces. As a result, it has been difficult to study manuscripts comprehensively across these various platforms. To address this challenge, a team of manuscript scholars and computer scientists worked to create "Mapping Manuscript Migrations" (MMM), a semantic portal, and a Linked Open Data service. MMM stands as a successful proof of concept for integrating distinct manuscript datasets into a shared platform for research and discovery with the potential for future expansion. This paper will discuss the major products of the MMM project: a unified data model, a repeatable data transformation pipeline, a Linked Open Data knowledge graph, and a Semantic Web portal. It will also examine the crucial importance of an iterative process of multidisciplinary collaboration embedded throughout the project, enabling humanities researchers to shape the development of a digital platform and tools, while also enabling the same researchers to ask more sophisticated and comprehensive research questions of the aggregated data.
    Source
    Journal of the Association for Information Science and Technology. 73(2022) no.2, S.240-257
  7. Furner, J.: Definitions of "metadata" : a brief survey of international standards (2020) 0.00 
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    Source
    Journal of the Association for Information Science and Technology. 71(2020) no.6, S.E33-E42
  8. Vorndran, A.; Grund, S.: Metadata sharing : how to transfer metadata information among work cluster members (2021) 0.00 
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  9. Hansson, K.; Dahlgren, A.: Open research data repositories : practices, norms, and metadata for sharing images (2022) 0.00 
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    Source
    Journal of the Association for Information Science and Technology. 73(2022) no.2, S.303-316
  10. Lee, S.: Pidgin metadata framework as a mediator for metadata interoperability (2021) 0.00 
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    Abstract
    A pidgin metadata framework based on the concept of pidgin metadata is proposed to complement the limitations of existing approaches to metadata interoperability and to achieve more reliable metadata interoperability. The framework consists of three layers, with a hierarchical structure, and reflects the semantic and structural characteristics of various metadata. Layer 1 performs both an external function, serving as an anchor for semantic association between metadata elements, and an internal function, providing semantic categories that can encompass detailed elements. Layer 2 is an arbitrary layer composed of substantial elements from existing metadata and performs a function in which different metadata elements describing the same or similar aspects of information resources are associated with the semantic categories of Layer 1. Layer 3 implements the semantic relationships between Layer 1 and Layer 2 through the Resource Description Framework syntax. With this structure, the pidgin metadata framework can establish the criteria for semantic connection between different elements and fully reflect the complexity and heterogeneity among various metadata. Additionally, it is expected to provide a bibliographic environment that can achieve more reliable metadata interoperability than existing approaches by securing the communication between metadata.
  11. Qin, C.; Liu, Y.; Ma, X.; Chen, J.; Liang, H.: Designing for serendipity in online knowledge communities : an investigation of tag presentation formats and openness to experience (2022) 0.00 
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    Source
    Journal of the Association for Information Science and Technology. 73(2022) no.10, S.1401-1417
  12. Laparra, E.; Binford-Walsh, A.; Emerson, K.; Miller, M.L.; López-Hoffman, L.; Currim, F.; Bethard, S.: Addressing structural hurdles for metadata extraction from environmental impact statements (2023) 0.00 
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    Source
    Journal of the Association for Information Science and Technology. 74(2023) no.9, S.1124-1139

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