• Article: Assessing and Improving the Quality of SKOS Vocabularies
Property: Scigraph ID
  • bf3ae36f8288ae140eaf175dc08c8bcd
Property: DOI
  • 10.1007/s13740-013-0026-0
Property: web page
Property: has contributing organization
Property: has contribution
Property: title
  • Assessing and Improving the Quality of SKOS Vocabularies
Property: language
  • English
Property: license
Property: abstract
  • Abstract Controlled vocabularies are increasingly made available on the Web of Data using the Simple Knowledge Organization System (SKOS) ontology. Assessment of vocabulary quality is important for determining the suitability of vocabularies for reuse in applications and for improving vocabulary development processes. We define 26 quality issues, i.e., computable functions that expose potential quality problems. In an analysis of a representative set of 24 SKOS vocabularies, we found all of them to contain structural errors and/or other quality problems. We propose a set of correction heuristics which we have used to automatically correct a significant proportion of the identified problems. Our reference implementations of these methods, the quality assessment tool qSKOS and the quality improvement tool Skosify, are available for reuse as open-source software.
Property: DOI link
Property: has field-of-research code
Property: has journal
Property: page end
  • 73
Property: issue
  • 1
Property: cover year
  • 2014-01-01 00:00:00(xsd:date)
Property: publication year-month
  • 2013-06-01 00:00:00(xsd:date)
Property: ISSN (electronic)
  • 1861-2040
Property: publication date
  • 2013-06-28(xsd:date)
Property: article type
  • OriginalPaper
Property: ISSN (print)
  • 1861-2032
Property: page start
  • 47
Property: cover year-month
  • 2014-03-01 00:00:00(xsd:date)
Property: indexing database
  • Scopus
Property: DDS ID (journal brand)
  • 13740
Property: volume
  • 3
Property: publication year
  • 2013-01-01 00:00:00(xsd:date)
Property: has journal brand
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