Improving the quality of SKOS vocabularies with skosify

Authors:
Osma Suominen;Eero Hyvönen
Affiliations:
Semantic Computing Research Group (SeCo), Department of Media Technology, Aalto University, Finland;Semantic Computing Research Group (SeCo), Department of Computer Science, University of Helsinki, Finland
Venue:
EKAW'12 Proceedings of the 18th international conference on Knowledge Engineering and Knowledge Management
Year:
2012

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Abstract

Simple Knowledge Organization System (SKOS) vocabularies are commonly used to represent lightweight conceptual vocabularies such as taxonomies, classifications and thesauri on the Web of Data. We identified 11 criteria for evaluating the validity and quality of SKOS vocabularies. We then analyzed 14 such vocabularies against the identified criteria and found most of them to contain structural errors. Our tool, Skosify, can be used to automatically validate SKOS vocabularies and correct many problems, helping to improve their quality and validity.