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Mendeley readers
Title |
Representing annotation compositionality and provenance for the Semantic Web
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Published in |
Journal of Biomedical Semantics, November 2013
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DOI | 10.1186/2041-1480-4-38 |
Pubmed ID | |
Authors |
Kevin M Livingston, Michael Bada, Lawrence E Hunter, Karin Verspoor |
Abstract |
Though the annotation of digital artifacts with metadata has a long history, the bulk of that work focuses on the association of single terms or concepts to single targets. As annotation efforts expand to capture more complex information, annotations will need to be able to refer to knowledge structures formally defined in terms of more atomic knowledge structures. Existing provenance efforts in the Semantic Web domain primarily focus on tracking provenance at the level of whole triples and do not provide enough detail to track how individual triple elements of annotations were derived from triple elements of other annotations. |
Mendeley readers
The data shown below were compiled from readership statistics for 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Spain | 3 | 8% |
United States | 2 | 5% |
Netherlands | 1 | 3% |
United Kingdom | 1 | 3% |
Australia | 1 | 3% |
Mexico | 1 | 3% |
Brazil | 1 | 3% |
Unknown | 27 | 73% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 10 | 27% |
Student > Ph. D. Student | 5 | 14% |
Student > Master | 5 | 14% |
Student > Bachelor | 4 | 11% |
Other | 3 | 8% |
Other | 7 | 19% |
Unknown | 3 | 8% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 16 | 43% |
Agricultural and Biological Sciences | 6 | 16% |
Engineering | 3 | 8% |
Arts and Humanities | 2 | 5% |
Neuroscience | 2 | 5% |
Other | 4 | 11% |
Unknown | 4 | 11% |