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This Jupyter Notebook provides Python code for comparing different vocabularies (such as the SSH Open Marketplace keywords, the Digital Humanities Austria taxonomy, or Getty AAT) and identifying possible overlaps. “Vocabularies” is used here in a broad sense, including both controlled vocabularies (ranging from controlled lists to thesauri) and folksonomies, i.e. collections of uncontrolled keywords used in a service.
folksonomies, controlled vocabularies, vocabularies, keywords, Python, Jupyter Notebook
Jupyter Notebook
folksonomies, controlled vocabularies, vocabularies, keywords, Python, Jupyter Notebook
Jupyter Notebook
| 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). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
| views | 42 | |
| downloads | 6 |

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Downloads provided by UsageCounts