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Howrse is a free-to-play browser game developed by French studio Owlient and currently published by Ubisoft. It is a breeding simulation game with horses.
History, Standards & Companies
Explore the main themes, entities and connections around Howrse. 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.
players game owlient in-game version german browser first passes 2009 french use company 2008 items 2011 simulation community awards free-to-play
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Howrse | Developer | Owlient | 1.00 | infobox |
| Howrse | Genre | Simulation | 1.00 | infobox |
| Howrse | Mode | Single-player | 1.00 | infobox |
| Howrse | Platforms | Browser, Android, iOS | 1.00 | infobox |
| Howrse | Publisher | Owlient | 1.00 | infobox |
| Howrse | Release | Browsers September 8, 2005 iOS 2011 Android January 30, 2014 | 1.00 | infobox |
| Howrse | is a | free-to-play browser game developed by French studio Owlient and currently published by Ubisoft | 0.90 | text |
| Howrse | related to Awards | In February | 0.60 | section |
| Howrse | related to Awards | Browser Game | 0.60 | section |
| Howrse | related to Awards | Year | 0.60 | section |
| Howrse | related to Awards | The | 0.60 | section |
| Howrse | related to Awards | Best Tycoon | 0.60 | section |
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.