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Nanopublications are a granular way of publishing scientific claims together with their associated provenance and publication information. More than 10 million nanopublications have been published by a handful of researchers covering a wide range of topics within the life sciences. We were motivated to replicate an existing analysis of these nanopublications, but then went deeper into the structure of the existing nanopublications. In this paper, we analyse the usage of nanopublications by investigating the distribution of triples in each part and discuss the data quality issues raised by this analysis. From this analysis we argue that there is a need for the community to develop a set of community guidelines for the modelling of nanopublications.
Virtuoso, Linked Data, Provenance, Semantic Publishing, Nanopublication, Data Quality, SPARQL, Jena Fuseki, Semantic Web
Virtuoso, Linked Data, Provenance, Semantic Publishing, Nanopublication, Data Quality, SPARQL, Jena Fuseki, Semantic Web
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 1 | |
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| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
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