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This presentation deals with the creation of a Knowledge Graph for small and big publishers to produce results for SEO. Using the technology behind Knowledge Graphs to semantically link tags and entities to articles, we injected content across 55 websites with context-rich information that can talk to search engines and appeal to users. In this analysis I present results from Organic Search and showcase all the possibilities that Knowledge Graphs give in terms of SEO, especially in the era of AI-generated content. The aim of this presentation is to showcase the power of Knowledge Graphs in the field of modern SEO.
SEO, Knowledge Graph
SEO, Knowledge Graph
| 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 |
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