
This dataset accompanies the study "Are Scientific Annotations Consistently Represented across Science Knowledge Graphs?". It contains parallel category annotations from four major Scientific Knowledge Graphs (SKGs)—OpenAlex, OpenAIRE, ORKG, and Papers with Code—for 70 AI-related publications.Two versions are provided: initial_dataset.json: raw annotations retrieved directly from SKG APIs or dumps with minimal processing. gold_standard.json: manually curated gold-standard containing only annotations judged to be semantically accurate.The datasets support evaluation of SKG annotation quality and consistency.
OpenAIRE, Papers with Code, Annotation Consistency, AI Papers, Gold Standard, Scientific Knowledge Graphs, Research Metadata, OpenAlex, ORKG
OpenAIRE, Papers with Code, Annotation Consistency, AI Papers, Gold Standard, Scientific Knowledge Graphs, Research Metadata, OpenAlex, ORKG
| 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 |
