-
Menzel, S.; Schnaitter, H.; Zinck, J.; Petras, V.; Neudecker, C.; Labusch, K.; Leitner, E.; Rehm, G.: Named Entity Linking mit Wikidata und GND : das Potenzial handkuratierter und strukturierter Datenquellen für die semantische Anreicherung von Volltexten (2021)
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- Pages
- S.229-256
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Altenhöner, R; Hengel, C.; Jahns, Y.; Junger, U.; Mahnke, C.; Oehlschläger, S.; Werner, C.: Weltkongress Bibliothek und Information, 74. IFLA-Generalkonferenz in Quebec, Kanada : Aus den Veranstaltungen der Division IV Bibliographic Control, der Core Activities ICADS und UNIMARC sowie der Information Technology Section (2008)
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- Source
- Bibliotheksdienst. 42(2008) H.10, S.1005-1032
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- a
-
Naun, C.C.: Expanding the use of Linked Data value vocabularies in PCC cataloging (2020)
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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.
- Source
- Cataloging and classification quarterly. 58(2020) no.3/4, S.449-457
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- a
-
Sfakakis, M.; Zapounidou, S.; Papatheodorou, C.: Mapping derivative relationships from BIBFRAME 2.0 to RDA (2020)
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- Abstract
- The mapping from BIBFRAME 2.0 to Resource Description and Access (RDA) is studied focusing on core entities, inherent relationships, and derivative relationships. The proposed mapping rules are evaluated with two gold datasets. Findings indicate that 1) core entities, inherent and derivative relationships may be mapped to RDA, 2) the use of the bf:hasExpression property may cluster bf:Works with the same ideational content and enable their mapping to RDA Works with their Expressions, and 3) cataloging policies have a significant impact on the interoperability between RDA and BIBFRAME datasets. This work complements the investigation of semantic interoperability between the two models previously presented in this journal.
- Source
- Cataloging and classification quarterly. 58(2020) no.7, S.603-631
- Type
- a
-
Folsom, S.M.: Using the Program for Cooperative Cataloging's past and present to project a Linked Data future (2020)
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- Source
- Cataloging and classification quarterly. 58(2020) no.3/4, S.464-471
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Schreur, P.E.: ¬The use of Linked Data and artificial intelligence as key elements in the transformation of technical services (2020)
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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.
- Source
- Cataloging and classification quarterly. 58(2020) no.5, S.473-485
- Type
- a
-
Zapounidou, S.; Sfakakis, M.; Papatheodorou, C.: Mapping derivative relationships from RDA to BIBFRAME 2 (2019)
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- Source
- Cataloging and classification quarterly. 57(2019) no.5, S.278-308
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- a
