Search (3 results, page 1 of 1)

  • × theme_ss:"Klassifikationstheorie: Elemente / Struktur"
  • × type_ss:"el"
  1. Franz, S.; Lopatka, T.; Kunze, G.; Meyn, N.; Strupler, N.: Un/Doing Classification : Bibliothekarische Klassifikationssysteme zwischen Universalitätsanspruch und reduktionistischer Wissensorganisation (2022) 0.01
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    Abstract
    Der multiperspektivische Beitrag analysiert mit einem intersektionalen und qualitativen Ansatz diskriminierende Begriffe, Auslassungen und implizit abwertende Strukturen bibliothekarischer Klassifikationen des Globalen Nordens. Am Beispiel der Regensburger Verbundklassifikation (RVK) werden rassistische und sexistische Schnitt- sowie Leerstellen in der Repräsentation queerer Lebens-, Liebes- und Lustentwürfe aufgezeigt. Mögliche Lösungen unter Einbeziehung der Communitys runden den Beitrag ab.
  2. Integrative level classification: Research project (2004-) 0.01
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    Footnote
    Mit einer Abbildung der Klassen der ILC als Liniendiagramm (von U. Priss)
  3. Machado, L.; Martínez-Ávila, D.; Barcellos Almeida, M.; Borges, M.M.: Towards a moderate realistic foundation for ontological knowledge organization systems : the question of the naturalness of classifications (2023) 0.01
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    Abstract
    Several authors emphasize the need for a change in classification theory due to the influence of a dogmatic and monistic ontology supported by an outdated essentialism. These claims tend to focus on the fallibility of knowledge, the need for a pluralistic view, and the theoretical burden of observations. Regardless of the legitimacy of these concerns, there is the risk, when not moderate, to fall into the opposite relativistic extreme. Based on a narrative review of the literature, we aim to reflectively discuss the theoretical foundations that can serve as a basis for a realist position supporting pluralistic ontological classifications. The goal is to show that, against rather conventional solutions, objective scientific-based approaches to natural classifications are presented to be viable, allowing a proper distinction between ontological and taxonomic questions. Supported by critical scientific realism, we consider that such an approach is suitable for the development of ontological Knowledge Organization Systems (KOS). We believe that ontological perspectivism can provide the necessary adaptation to the different granularities of reality.