Document (#39464)

Author

Hanke, M.

Title

Bibliothekarische Klassifikationssysteme im semantischen Web : zu Chancen und Problemen von Linked-data-Repräsentationen ausgewählter Klassifikationssysteme

Source

Perspektive Bibliothek. 3(2014) H.2, S.91-119

Year

2014

Abstract

Pflege und Anwendung von Klassifikationssystemen für Informationsressourcen sind traditionell eine Kernkompetenz von Bibliotheken. Diese Systeme sind häufig historisch gewachsen und die Veröffentlichung verschiedener Systeme ist in der Vergangenheit typischerweise durch gedruckte Regelwerke oder proprietäre Datenbanken erfolgt. Die Technologien des semantischen Web erlauben es, Klassifikationssysteme in einer standardisierten und maschinenlesbaren Weise zu repräsentieren, sowie als Linked (Open) Data für die Nachnutzung zugänglich zu machen. Anhand ausgewählter Beispiele von Klassifikationssystemen, die bereits als Linked (Open) Data publiziert wurden, werden in diesem Artikel zentrale semantische und technische Fragen erörtert, sowie mögliche Einsatzgebiete und Chancen dargestellt. So kann beispielsweise die für die Maschinenlesbarkeit erforderliche starke Strukturierung von Daten im semantischen Web zum besseren Verständnis der Klassifikationssysteme beitragen und möglicherweise positive Impulse für ihre Weiterentwicklung liefern. Für das semantische Web aufbereitete Repräsentationen von Klassifikationssystemen können unter anderem zur Kataloganreicherung oder für die anwendungsbezogene Erstellung von Konkordanzen zwischen verschiedenen Klassifikations- bzw. Begriffssystemen genutzt werden..

Content

Vgl. unter: https://journals.ub.uni-heidelberg.de/index.php/bibliothek/article/view/16808=doi:10.11588/pb.2014.2.16808.

Theme

Klassifikationssysteme im Online-Retrieval
Semantic Web

Object

DDC

Location

D

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