Abstract | ||
---|---|---|
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. |
Year | DOI | Venue |
---|---|---|
2018 | 10.1016/j.procs.2018.09.007 | Procedia Computer Science |
Keywords | DocType | Volume |
Linked Data,Web of Data,Labels,Human Accessibility,Multilingual 2010 MSC: 00-01,99-00 | Conference | 137 |
ISSN | Citations | PageRank |
1877-0509 | 0 | 0.34 |
References | Authors | |
0 | 2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Lucie-Aimée Kaffee | 1 | 10 | 4.32 |
Elena Simperl | 2 | 1069 | 122.60 |