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OpenSeaMap is a software project collecting freely usable nautical information and geospatial data to create a worldwide nautical chart. This chart is available on the OpenSeaMap website, and can also be downloaded for use as an electronic chart for offline applications.
The analysis highlights History, Applications and Art as prominent areas in the source structure around OpenSeaMap.
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 OpenSeaMap shows recurring relationship patterns in the source. For example, OpenSeaMap → By, Düsseldorf, Essen, Europe's, From, Germany, In January, Linux Hotel, OpenStreetMap, Since, The, Warnemünde Another extracted example is OpenSeaMap → By, Clicking, Commons, English, German, Icon, September, View Wikipedia-Links, Wikipedia, With. 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 openstreetmap worldwide map chart project available information water database weather depths also applications ports wiki free english german crowdsourcing
TTTA extracted 48 structured relationships around OpenSeaMap. Examples in this analysis include OpenSeaMap → Available in → English, German, French, Italian, Spanish, Russian, Arabic and OpenSeaMap → Commercial → No. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| OpenSeaMap | Available in | English, German, French, Italian, Spanish, Russian, Arabic | 1.00 | infobox |
| OpenSeaMap | Commercial | No | 1.00 | infobox |
| OpenSeaMap | Content license | CC BY-SA (map), ODbL (data) | 1.00 | infobox |
| OpenSeaMap | Created by | members of the OpenSeaMap and OpenStreetMap community | 1.00 | infobox |
| OpenSeaMap | Launched | 2009 | 1.00 | infobox |
| OpenSeaMap | Owner | Community-owned | 1.00 | infobox |
| OpenSeaMap | Registration | only required for contributors | 1.00 | infobox |
| OpenSeaMap | Type of site | Wiki to create a free world map. | 1.00 | infobox |
| OpenSeaMap | URL | map.openseamap.org & openseamap.org | 1.00 | infobox |
| OpenSeaMap | is a | software project collecting freely usable nautical information and geospatial data to create a worldwide nautical chart | 0.90 | text |
| OpenSeaMap | part of | the OpenStreetMap database | 0.85 | text |
| aids to navigation | instance of | OpenSeaMap includes additional layers | 0.80 | text |
The concept neighborhoods around OpenSeaMap bring nearby vocabulary together. In this analysis, examples include Data, Information and Chart. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For OpenSeaMap, one of the stronger structural bridges in this analysis connects OpenSeaMap with Applications. 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 OpenSeaMap to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History, Applications & Art, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — OpenSeaMap · EN edition · Analysis: TopicsToTalkAbout