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Profiling of knowledge organisation systems for the annotation of Linked Data cultural resources
The importance of cultural heritage for supporting the knowledge economy has promoted its digitisation and online publication. Many cultural heritage repositories have published millions of digitised items using semantic web technologies and Linked Data approaches. These repositories frequently use...
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Published in: | Information systems (Oxford) 2019-09, Vol.84, p.17-28 |
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Main Authors: | , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | The importance of cultural heritage for supporting the knowledge economy has promoted its digitisation and online publication. Many cultural heritage repositories have published millions of digitised items using semantic web technologies and Linked Data approaches. These repositories frequently use knowledge organisation systems to classify the resources, but the domain heterogeneity makes it difficult to know if they are the most suitable ones. This paper describes the process used to discover and profile the knowledge organisation systems used in the cultural heritage domain. Additionally, for those knowledge organisation systems with a thesaurus-like structure, a detailed quality analysis is performed. The results of this analysis can be used as a key factor for the selection of knowledge organisation systems in classification tasks.
•Discovery and study of KOS in cultural heritage LD collections is difficult.•The use of cultural KOS is concentrated: 17% of the KOS aggregate 80% of the uses.•KOS definitions are important for reusability but not usually provided.•KOS consistency quality is less relevant than completeness and accuracy. |
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ISSN: | 0306-4379 1873-6076 |
DOI: | 10.1016/j.is.2019.04.008 |