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Mapillary is a service for open-source sharing of crowdsourced geotagged photos, including 360° photos and street-level imagery similar to Google Street View. It is developed by remote company Mapillary AB, based in Malmö, Sweden. Mapillary was launched in 2013 and acquired by Meta Platforms, Inc. in 2020.
The analysis highlights History and Companies as prominent areas in the source structure around Mapillary.
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 Mapillary shows recurring relationship patterns in the source. For example, Mapillary → According, Android, Jan Erik Solem, January, Johan Gyllenspetz, November, Peter Neubauer, September, Solem, Yubin Kuang Another extracted example is Mapillary → April, CC BY-NC, CC BY-SA, Creative Commons Attribution-ShareAlike, International License, ODbL, OpenStreetMap, The GPX, Wikimedia Commons. 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.
photos million data images license november 2018 street-level meta platforms inc september 2013 use released 2014 tool including imagery street
TTTA extracted 44 structured relationships around Mapillary. Examples in this analysis include Mapillary → Available in → English and Mapillary → Developer → Meta Platforms, Inc.. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Mapillary | Available in | English | 1.00 | infobox |
| Mapillary | Developer | Meta Platforms, Inc. | 1.00 | infobox |
| Mapillary | License | CC BY-SA | 1.00 | infobox |
| Mapillary | Operating system | Android | 1.00 | infobox |
| Mapillary | Operating system | iOS | 1.00 | infobox |
| Mapillary | Release | September 2013; 12 years ago (2013-09) | 1.00 | infobox |
| Mapillary | Type | Web mapping | 1.00 | infobox |
| Mapillary | Website | mapillary.com | 1.00 | infobox |
| Mapillary | is a | service for open-source sharing of crowdsourced geotagged photos | 0.90 | text |
| Mapillary | related to Features | September | 0.60 | section |
| Mapillary | related to Features | May | 0.60 | section |
| Mapillary | related to Features | December | 0.60 | section |
The concept neighborhoods around Mapillary bring nearby vocabulary together. In this analysis, examples include Million, Photos and Images. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Mapillary, one of the stronger structural bridges in this analysis connects Mapillary with Overview. 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 Mapillary to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History & Companies, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Mapillary · EN edition · Analysis: TopicsToTalkAbout
