Research any topic before you write.
Find related topics. | Discover entities. | See connections. | Build a topical map.
YAGO (Yet Another Great Ontology) is an open source knowledge base developed at the Max Planck Institute for Informatics in Saarbrücken. It is automatically extracted from Wikidata and Schema.org.
Overview, Related Topics & Entities
Explore the main themes, entities and connections around YAGO (database). Start with the topic map, then use the sections below for research and deeper semantic analysis.
Start with a few of the strongest sections from the source topic. These are research directions, not a list of keywords you must use.
High-confidence facts extracted from structured source data. Use them as anchors for further research.
Browse the full topic structure. Each item opens a new analysis centered on that subject.
Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.
See the strongest relationship patterns around the current topic before diving into the raw triples.
Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.
yago yago3 wikidata extracted org data knowledge ontology saarbrücken source schema facts available github also dbpedia linked software wikipedia wordnet
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| YAGO (database) | Developer | Max-Planck-Institute Saarbrücken | 1.00 | infobox |
| YAGO (database) | License | Creative Commons CC-BY 4.0 | 1.00 | infobox |
| YAGO (database) | Release | 2008 | 1.00 | infobox |
| YAGO (database) | Repository | github.com/yago-naga/yago-4.5 | 1.00 | infobox |
| YAGO (database) | Stable release | 4.5 / May 2023 | 1.00 | infobox |
| YAGO (database) | Type | Semantic Web, linked data | 1.00 | infobox |
| YAGO (database) | Website | yago-knowledge.org | 1.00 | infobox |
These clusters group vocabulary that occurs around closely connected concepts in the source material.
Bridges can reveal useful research angles that are easy to miss in a flat list of related terms.