Search (3 results, page 1 of 1)

  • × year_i:[2020 TO 2030}
  • × theme_ss:"Schöne Literatur"
  1. Becnel, K.; Moeller, R.A.: Graphic novels in the school library : questions of cataloging, classification, and arrangement (2022) 0.01 
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    Content
    Vgl.: https://www.nomos-elibrary.de/10.5771/0943-7444-2022-5/ko-knowledge-organization-jahrgang-49-2022-heft-5.
    Source
    Knowledge organization. 49(2022) no.5, S.316 - 328
  2. 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).
  3. Moulaison-Sandy, H.; Adkins, D.; Bossaller, J.; Cho, H.: ¬An automated approach to describing fiction : a methodology to use book reviews to identify affect (2021) 0.00 
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    Abstract
    Subject headings and genre terms are notoriously difficult to apply, yet are important for fiction. The current project functions as a proof of concept, using a text-mining methodology to identify affective information (emotion and tone) about fiction titles from professional book reviews as a potential first step in automating the subject analysis process. Findings are presented and discussed, comparing results to the range of aboutness and isness information in library cataloging records. The methodology is likewise presented, and how future work might expand on the current project to enhance catalog records through text-mining is explored.

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