Research any topic before you write.
Find related topics. | Discover entities. | See connections. | Build a topical map.
The Framework Programmes for Research and Technological Development, also called Framework Programmes or abbreviated FP1 to FP9, are funding programmes created by the European Union/European Commission to support and foster research in the European Research Area (ERA). Starting in 2014, the funding programmes were named Horizon.
Works, Art, Technology & Regions
Explore the main themes, entities and connections around Framework Programmes for Research and Technological Development. 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.
research horizon european projects 2020 funding commission framework programme fp6 programmes fp7 associated countries three budget years innovation union technological
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| the European Processor Initiative | instance of | Projects | 0.80 | text |
| or the Exscalate4Cov project | instance of | Projects | 0.80 | text |
| were beneficiaries of Horizon 2020.Horizon 2020 was succeeded by Horizon Europe in 2021.Objective | instance of | Projects | 0.80 | text |
| pillarsThe framework programme's objective is to complete the European Research Area | instance of | Projects | 0.80 | text |
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.