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OpenStreetMap (OSM) is a map database maintained by a community of volunteers via open collaboration. Contributors collect data from surveys, trace from aerial photo imagery or satellite imagery, and import from other freely licensed geodata sources.
The analysis highlights History, Community, Applications and Measurement as prominent areas in the source structure around OpenStreetMap.
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.
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The extracted context around OpenStreetMap shows recurring relationship patterns in the source. For example, OpenStreetMap → AOL, Automotive Navigation Data, By July, China, CloudMade, Coast, December, GPS, In April, In December, In March, In October, India, London, Map, MapQuest, Netherlands, OpenStreetMap Foundation, Ordnance Survey, OSM's Another extracted example is OpenStreetMap → According, Amazon, Amazon Logistics, Apple, Automotive Navigation Data, China, Developmentseed, Digital Egypt, Facebook, GPS, Grab, India, Kaart, Lightcyphers, Lyft, Mapbox, March, Microsoft, Netherlands, OSM. 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.
data osm map maps database mapping contributors applications community project use based users open gps navigation used features website google
TTTA extracted 286 structured relationships around OpenStreetMap. Examples in this analysis include OpenStreetMap → Available in → 112 languages and variants and OpenStreetMap → Content license → Open Database License. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| OpenStreetMap | Available in | 112 languages and variants | 1.00 | infobox |
| OpenStreetMap | Content license | Open Database License | 1.00 | infobox |
| OpenStreetMap | Country of origin | United Kingdom | 1.00 | infobox |
| OpenStreetMap | Created by | Steve Coast | 1.00 | infobox |
| OpenStreetMap | Current status | Active | 1.00 | infobox |
| OpenStreetMap | Launched | 9 August 2004; 22 years ago (2004-08-09) | 1.00 | infobox |
| OpenStreetMap | Owner | OpenStreetMap Foundation | 1.00 | infobox |
| OpenStreetMap | Products | Editable geographic data, tiled web map layer | 1.00 | infobox |
| OpenStreetMap | Registration | Required for contributors, not required for viewing | 1.00 | infobox |
| OpenStreetMap | URL | www.openstreetmap.org | 1.00 | infobox |
| OpenStreetMap | Users | 10.6 million | 1.00 | infobox |
| OpenStreetMap | Written in | Ruby, JavaScript | 1.00 | infobox |
The concept neighborhoods around OpenStreetMap bring nearby vocabulary together. In this analysis, examples include Data, Community and Mapping. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For OpenStreetMap, one of the stronger structural bridges in this analysis connects OpenStreetMap with Uses. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.
TTTA analyzes the structure around OpenStreetMap to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History, Community, Applications & Measurement, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — OpenStreetMap · EN edition · Analysis: TopicsToTalkAbout
