Finding Quality Issues in SKOS Vocabularies

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

doi:10.1007/978-3-642-33290-6_25

Finding Quality Issues in SKOS Vocabularies

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

Research output: Chapter in Book / Report / Conference proceeding › Conference contribution › Academic › peer-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 language	English
Title of host publication	Proceedings of the 2nd International Conference on Theory and Practice of Digital Libraries (TPDL 2012)
DOIs	https://doi.org/10.1007/978-3-642-33290-6_25
Publication status	Published - 2012
Event	International Conference on Theory and Practice of Digital Libraries (TPDL 2012) - Duration: 1 Jan 2012 → 1 Jan 2012

Conference

Conference	International Conference on Theory and Practice of Digital Libraries (TPDL 2012)
Period	1/01/12 → 1/01/12

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10.1007/978-3-642-33290-6_25

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@inproceedings{248d7ae305834b239da0a5397e0b847d,

title = "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 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. {\textcopyright} 2012 Springer-Verlag.",

author = "C Mader and B. Haslhofer and A.H.J.C.A. Isaac",

year = "2012",

doi = "10.1007/978-3-642-33290-6_25",

language = "English",

booktitle = "Proceedings of the 2nd International Conference on Theory and Practice of Digital Libraries (TPDL 2012)",

note = "International Conference on Theory and Practice of Digital Libraries (TPDL 2012) ; Conference date: 01-01-2012 Through 01-01-2012",

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TY - GEN

T1 - Finding Quality Issues in SKOS Vocabularies

AU - Mader, C

AU - Haslhofer, B.

AU - Isaac, A.H.J.C.A.

PY - 2012

Y1 - 2012

N2 - 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.

AB - 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.

U2 - 10.1007/978-3-642-33290-6_25

DO - 10.1007/978-3-642-33290-6_25

M3 - Conference contribution

BT - Proceedings of the 2nd International Conference on Theory and Practice of Digital Libraries (TPDL 2012)

T2 - International Conference on Theory and Practice of Digital Libraries (TPDL 2012)

Y2 - 1 January 2012 through 1 January 2012

ER -

Finding Quality Issues in SKOS Vocabularies

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