Kaffee, Lucie-Aimée

Simperl, Elena

Labels in the web of data are the key element for humans to access the data. We introduce a framework to measure the coverage of information with labels. The framework is based on a set of metrics including completeness, unambiguity, multilinguality, labeled object usage, and monolingual islands. We apply this framework on seven diverse datasets, from the web of data, a collaborative knowledge base, open governmental and GLAM data. We gain an insight into the current state of labels and multilinguality on the web of data. Comparing a set of differently sourced datasets can help data publishers to understand what they can improve and what other ways of collecting and data can be adopted

The human face of the web of data: a cross-sectional study of labels

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