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Input data sources, mappings and RDF results used to generate the Semantics 2023 KG. We follow a simple data model, reusing the [Schema.org](https://schema.org/) vocabulary as much as possible. All papers are schema:ScholarlyArticles, that are part of tracks (schema:Event) and are authored by schema:Persons. Each article has either datasets (schema:Dataset), code repositories (schema:SoftwareSourceCode), ontologies (owl:Ontology) or Demos (schema:SoftwareApplication). As a result, our KG has 2521 triples, which describe 50 papers, 22 code repositories, 11 datasets, 7 demos and 5 ontologies.
Open Science, Knowledge Graph, Semantics conference
Open Science, Knowledge Graph, Semantics conference
citations 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 |
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