Automation of subject indexing with semantic web technology

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Abstract

This article would like to present an approach that shows how the library of the University of Konstanz – and other libraries with a house system – can stick to their own system and still benefit from the subject indexing work of other libraries. A concept is presented that shows how similarity relations between verbal subject indexing, RVK, DDC and in-house systematics can be created using semantic web technology, which allow subject indexing information to be translated into other classification systems and thus make automation in subject indexing possible

Topics:
Subject indexing, content indexing, automation, classification, semantic web, linked data, verbal subject indexing, DDC, RVK, in-house system, Konstanz system, info: eu-repo / classification / ddc / 020

Year: 2015

DOI identify: 10.5282/o-bib/2015H4S161-175

OAI identify:
oai: kops.uni-konstanz.de: 123456789/32708

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