COLLADA (for 'collaborative design activity') is an interchange file format for interactive 3D applications. It is managed by the nonprofit technology consortium, the Khronos Group, and has been adopted by ISO as a publicly available specification, ISO/PAS 17506.
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COLLADA topic overview
The analysis highlights History, Applications, Standards and Technology as prominent areas in the source structure around COLLADA.
Related topics
103
Source areas
7
Connected nodes
110
Extracted relationships
89
Concept neighborhoods
37
Bridge connections
110
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.
Software tools · 37 topics
Applications · 19 topics
Game engines · 17 topics
Overview · 9 topics
History · 8 topics
Versions · 7 topics
Physics · 6 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.
Developed by
Sony Computer Entertainment, Khronos Group
Extended from
XML
Initial release
October 2004; 21 years ago (2004-10)
Internet media type
model/vnd.collada+xml
Latest release
1.5.1 November 2025; 9 months ago (2025-11)
Standard
ISO/PAS 17506:2012
Explore all related topics Closing gaps
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 COLLADA 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 COLLADA shows recurring relationship patterns in the source. For example, COLLADA → Alias Systems Corporation, Autodesk, Avid Technology, Barnes, COLLADA's, Criterion Software, Dozens, Early, Inc, Khronos, Khronos Group, Mark, Originally, Rémi Arnaud, SCEA Shared Source License, Several, Sony, Sony Computer Entertainment, The COLLADA, The COLLADA DOM Another extracted example is COLLADA → Adobe PhotoshopArtiosCADBlender, Applications, AuthorLightWave, BryceCarraraChief Architect SoftwareCinema, CityEngineClara, ColladaMax, ColladaMaya, DCC, DCCs, Game Development Tool, KML, KMZ, MakeHumanMaya, Max, MAXON, MeshLabModoOkino PolyTransOpenRAVEPoser Pro, Robot Operating SystemSketchUp, StudioDelphiE-on Vue, XSISolidWorksStrata. Use these groups to spot repeated connection types before inspecting the individual relationships.
COLLADA
Top relations
related to history· 20
COLLADA → Alias Systems Corporation, Autodesk, Avid Technology, Barnes, COLLADA's, Criterion Software, Dozens, Early, Inc, Khronos, Khronos Group, Mark, Originally, Rémi Arnaud, SCEA Shared Source License, Several, Sony, Sony Computer Entertainment, The COLLADA, The COLLADA DOM
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 89 structured relationships around COLLADA. Examples in this analysis include COLLADA → Developed by → Sony Computer Entertainment, Khronos Group and COLLADA → Extended from → XML. The table shows each extracted connection, where it came from and its confidence.
gravitation.Physics middleware products that support this standard include Bullet Physics Library
instance of
and global physical properties
0.80
text
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 COLLADA bring nearby vocabulary together. In this analysis, examples include 3d, Dae and Applications. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
COLLADA
3d
Dae
Applications
File
Files
Support
Digital
Tool
Engines
Format
Physics
Software
collada
3d
Dae
Applications
File
Files
Support
Digital
Tool
Engines
Format
Physics
Software
file format
Originally
Game
Model
Engine
Graphics
Tool
Files
Format
Dae
Software
Assets
Support
3d
Dae
Files
Format
Model
Collada
Game
Applications
File
Software
Import
Originally
Systems
open standard
Physics
Engine
Graphics
Xml
Game
Standard
Engines
Software
Dae
Exchange
Extension
Filename
xml schema
Assets
Extension
Filename
Digital
Graphics
Specification
Applications
Standard
Dae
Software
Also
Exchange
software applications
File
Format
Software
Dae
Import
Model
Originally
Xml
Game
Graphics
Collada
Engines
game engines
Engines
Format
Game
Model
Originally
Physics
Also
Engine
Graphics
Standard
Support
Software
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 COLLADA, one of the stronger structural bridges in this analysis connects COLLADA with Software tools. 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.
COLLADA
Nodes111
Edges110
Triples89
Avg. degree1.98
Density0.018018
Components1
Source & methodology
TTTA analyzes the structure around COLLADA to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History, Applications, Standards & Technology, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
