Search (4 results, page 1 of 1)

  • × language_ss:"e"
  • × theme_ss:"Formalerschließung"
  • × theme_ss:"Semantische Interoperabilität"
  1. Folsom, S.M.: Using the Program for Cooperative Cataloging's past and present to project a Linked Data future (2020) 0.01 
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  2. Zapounidou, S.; Sfakakis, M.; Papatheodorou, C.: Mapping derivative relationships from RDA to BIBFRAME 2 (2019) 0.01 
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    Abstract
    Semantic interoperability between Resource Description and Access (RDA) and BIBFRAME models is of great interest to the library community. In this context, this work investigates the mapping of core entities, inherent and derivative relationships from RDA to BIBFRAME, and proposes mapping rules assessed using two gold datasets. Findings indicate that RDA core entities and inherent relationships can be successfully mapped to BIBFRAME using the bf:hasExpression property, while extending bf:hasExpression as transitive simplifies BIBFRAME representations. Moreover, mapping derivative relationships between RDA Expressions was successful with loss of specificity in non-translation cases. The mapping of derivative relationships between RDA Works produced "noisy" bf:hasDerivative occurrences in BIBFRAME.
  3. Naun, C.C.: Expanding the use of Linked Data value vocabularies in PCC cataloging (2020) 0.01 
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    Abstract
    In 2015, the PCC Task Group on URIs in MARC was tasked to identify and address linked data identifiers deployment in the current MARC format. By way of a pilot test, a survey, MARC Discussion papers, Proposals, etc., the Task Group initiated and introduced changes to MARC encoding. The Task Group succeeded in laying the ground work for preparing library data transition from MARC data to a linked data, RDF environment.
  4. Schreur, P.E.: ¬The use of Linked Data and artificial intelligence as key elements in the transformation of technical services (2020) 0.01 
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    Abstract
    Library Technical Services have benefited from numerous stimuli. Although initially looked at with suspicion, transitions such as the move from catalog cards to the MARC formats have proven enormously helpful to libraries and their patrons. Linked data and Artificial Intelligence (AI) hold the same promise. Through the conversion of metadata surrogates (cataloging) to linked open data, libraries can represent their resources on the Semantic Web. But in order to provide some form of controlled access to unstructured data, libraries must reach beyond traditional cataloging to new tools such as AI to provide consistent access to a growing world of full-text resources.

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