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.
The analysis highlights Overview, Related Topics and Entities as prominent areas in the source structure around YAGO (database).
Source areas are shown by the number of related topics found in each part of the analysis. Use smaller areas too: they can reveal specialized angles and content gaps.
Smaller areas are not necessarily less important. They contain fewer connections in this analysis and can be useful for finding specialized angles or coverage gaps.
High-confidence facts extracted from structured source data. Use them as anchors for further research.
Browse the complete topic structure, not only the most central items. Less prominent entities and concepts can reveal missing angles, specialized context and useful research gaps. 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.
The extracted context around YAGO (database) shows recurring relationship patterns in the source. For example, YAGO (database) → Max-Planck-Institute Saarbrücken Another extracted example is YAGO (database) → Creative Commons CC-BY 4.0. Use these groups to spot repeated connection types before inspecting the individual relationships.
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
TTTA extracted 7 structured relationships around YAGO (database). Examples in this analysis include YAGO (database) → Developer → Max-Planck-Institute Saarbrücken and YAGO (database) → License → Creative Commons CC-BY 4.0. The table shows each extracted connection, where it came from and its confidence.
| 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 |
The concept neighborhoods around YAGO (database) bring nearby vocabulary together. In this analysis, examples include Available, Knowledge and Dbpedia. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
Bridges highlight paths between different parts of the YAGO (database) map and can reveal research angles that are easy to miss in a flat list.
TTTA analyzes the structure around YAGO (database) to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Overview, Related Topics & Entities, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — YAGO (database) · EN edition · Analysis: TopicsToTalkAbout