Finding Quality Issues in SKOS Vocabularies

C Mader, B. Haslhofer, A.H.J.C.A. Isaac

Research output: Chapter in Book / Report / Conference proceedingConference contributionAcademicpeer-review

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 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. © 2012 Springer-Verlag.
Original languageEnglish
Title of host publicationProceedings of the 2nd International Conference on Theory and Practice of Digital Libraries (TPDL 2012)
DOIs
Publication statusPublished - 2012
EventInternational Conference on Theory and Practice of Digital Libraries (TPDL 2012) -
Duration: 1 Jan 20121 Jan 2012

Conference

ConferenceInternational Conference on Theory and Practice of Digital Libraries (TPDL 2012)
Period1/01/121/01/12

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