How does Google process information from Wikipedia for the Knowledge Graph?

The podcast examines how Google processes information from Wikipedia and Wikidata for its Knowledge Graph. Semi-structured data from Wikipedia, in particular info boxes and introductory texts, are extracted and used. Structured data from Wikidata and databases such as DBpedia and YAGO also play an important role. The article describes Google's methods for identifying entities, extracting attributes and aggregating information for featured snippets and knowledge panels. Wikipedia serves as an important data source and “proof of entity”. Finally, the challenges of processing unstructured data and ensuring data quality are addressed. https://www.kopp-online-marketing.com/wikipedia-knowledge-graph