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Skyland: Characters, Art, Measurement & Products
Skyland (full French title: "Skyland, Le Nouveau Monde", or "Skyland, The New World"), is an animated television series developed in France in partnership with Canada and Luxembourg for television channels France 2 in France, Teletoon in Canada, Nicktoons in the United States, ABC in Australia and CITV in the United Kingdom. The show is a co-production…
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Skyland topic overview
The analysis highlights Characters, Art, Measurement and Products as prominent areas in the source structure around Skyland.
Related topics
26
Source areas
5
Connected nodes
31
Extracted relationships
280
Concept neighborhoods
8
Bridge connections
31
What this topic covers Research coverage
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.
Characters · 7 topics
Overview · 7 topics
Production · 7 topics
Plot · 4 topics
Home releases · 1 topics
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.
Key facts & relationships
High-confidence facts extracted from structured source data. Use them as anchors for further research.
Genre
Action-adventure Drama Science fiction
Composer
Paul Intson
Countries of origin
France Canada
Created by
Emmanuel Gorinstein Alexandre de La Patellière Mathieu Delaporte
A structured outline of related entities, concepts and subtopics. Open any item to build a new map centered on it.
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.
How Skyland connects Entity context
Entity context groups extracted connections by relationship type. Counts show recurrence in the analyzed source; the examples are research signals, not claims about importance.
The extracted context around Skyland shows recurring relationship patterns in the source. For example, Skyland → Absolute, Adventure, After, Age, Alex Belcourt, Although, Alyson Court, Appointed, Aran Cortes, Arena, Athena Karkanis, Babylonia, Back, Brigadiers, Brother, Cameron Ansell, Celia, Cheng, Cheng's, Christelle Ouvrard Another extracted example is Skyland → After, After Cortes, After Ningxia, Afterwards, Alice, Anti-Seijin, Aragon, Aran, Artemis, Astrid, Brigadiers, But, Callisto, Celia, Cheng, Cheng's, Christophe, Christophe Cortes, Christophe Mendias Theodore Cortes, Christophe's. Use these groups to spot repeated connection types before inspecting the individual relationships.
Relationships are represented as Subject → Predicate → Object triples. Confidence describes extraction strength, not the real-world importance of a relationship; lower-confidence rows may be contextual rather than explicit.
TTTA extracted 280 structured relationships around Skyland. Examples in this analysis include Skyland → Composer → Paul Intson and Skyland → Countries of origin → France Canada. The table shows each extracted connection, where it came from and its confidence.
Subject
Predicate
Object
Confidence
Src
Skyland
Composer
Paul Intson
1.00
infobox
Skyland
Countries of origin
France Canada
1.00
infobox
Skyland
Created by
Emmanuel Gorinstein Alexandre de La Patellière Mathieu Delaporte
1.00
infobox
Skyland
Executive producers
Aton Soumache
1.00
infobox
Skyland
Executive producers
Alexis Vonarb
1.00
infobox
Skyland
Executive producers
Vince Commisso
1.00
infobox
Skyland
Executive producers
Steve Jarosz
1.00
infobox
Skyland
Executive producers
Lilan Eche
1.00
infobox
Skyland
Executive producers
Tapaas Chakravarti
1.00
infobox
Skyland
Genre
Action-adventure Drama Science fiction
1.00
infobox
Skyland
Network
France 2 (France) Teletoon (Canada)
1.00
infobox
Skyland
No. of episodes
26
1.00
infobox
Skyland
No. of seasons
2
1.00
infobox
Skyland
Original languages
French English
1.00
infobox
Skyland
Producers
Marilyn McAuley
1.00
infobox
Skyland
Producers
Cedric Pilot
1.00
infobox
Skyland
Production companies
Method Films 9 Story Entertainment
1.00
infobox
Skyland
Release
November 26, 2005 (2005-11-26) – May 25, 2007 (2007-05-25)
1.00
infobox
Skyland
Running time
22 minutes
1.00
infobox
Skyland
Starring
Tim Hamaguchi Phoebe McAuley
1.00
infobox
No triples extracted yet.
Related concept clusters Concept neighborhoods
Concept neighborhoods group terms that sit near one another in the extracted graph. They are useful for discovering adjacent language and context, but proximity does not by itself imply a factual relationship.
The concept neighborhoods around Skyland bring nearby vocabulary together. In this analysis, examples include Teletoon, Though and Method. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
motion capture
First
Oslo
Marcus
Lena
Entertainment
Rebellion
Use
Like
Mother
Pirate
Pirates
Seijin
Skyland
Teletoon
Though
Method
Animation
Entertainment
Use
Cheng
Escape
Sphere
Diwan
Pirates
Mila
skyland
Teletoon
Though
Method
Animation
Entertainment
Use
Cheng
Escape
Sphere
Diwan
Pirates
Mila
pirates
Escape
Seijin
Rebellion
Alice
Cheng
Pirate
Diwan
Sphere
Cortes
Skyland
Powers
9 story entertainment
Method
Animation
French
First
Series
Teletoon
Show
Full
Capture
Skyland
madman entertainment
Method
Animation
French
First
Series
Teletoon
Show
Full
Capture
Skyland
teletoon
Canada
French
Series
Method
Skyland
Animation
Entertainment
Full
method films
Series
Animation
Entertainment
Show
Teletoon
Skyland
Connections between topic areas Semantic bridges
Semantic bridges connect parts of the graph that would otherwise be more separate. A bridge is a structural signal in this analysis, not a claim that the two topic areas are equivalent.
For Skyland, one of the stronger structural bridges in this analysis connects Skyland 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.
Number of nodes, edges, triples, density and central hubs. Use it to gauge the size and connectivity of the map.
Skyland
Nodes32
Edges31
Triples280
Avg. degree1.94
Density0.0625
Components1
Source & methodology
TTTA analyzes the structure around Skyland to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Characters, Art, Measurement & Products, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
