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Finding Quality Issues in SKOS Vocabularies by Mader, Christian; Haslhofer, Bernhard; Isaac, Antoine is a scholarly article available to read on EtoBox.

What is Finding Quality Issues in SKOS Vocabularies about?

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 quantifiable 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.

Author

Mader, Christian; Haslhofer, Bernhard; Isaac, Antoine

Published

2012

Language

EN