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Finding Quality Issues in SKOS Vocabularies

Abstract

The Simple Knowledge Organization System (SKOS) is a standard model for controlled vocabularies on the Web. However, SKOS vocabularies often differ in terms of quality, which reduces their applicability across system boundaries. Here we investigate how we can support taxonomists in improving SKOS vocabularies by pointing out quality issues that go beyond the integrity constraints defined in the SKOS specification. We identified potential quality issues and formalized them into computable quality checking functions that can find affected resources in a given SKOS vocabulary. We implemented these functions in the qSKOS quality assessment tool, analyzed 15 existing vocabularies, and found possible quality issues in all of them.

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Authors
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Citation
Category
Paper in Conference Proceedings or in Workshop Proceedings (Paper)
Event Title
TPDL 2012 Therory and Practice of Digital Libraries
Divisions
Multimedia Information Systems
Event Type
Conference
Date
21 May 2012
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