Modelica is an object-oriented, declarative, multi-domain modeling language for component-oriented modeling of complex systems, e.g., systems containing mechanical, electrical, electronic, hydraulic, thermal, control, electric power or process-oriented subcomponents. The free Modelica language is developed by the non-profit Modelica Association. The…
Use the mouse wheel or two fingers (on touchscreens) to zoom in and out of the map.
More settings
Modelica topic overview
The analysis highlights Characters, History, Applications and Measurement as prominent areas in the source structure around Modelica.
Related topics
31
Source areas
6
Connected nodes
37
Extracted relationships
105
Concept neighborhoods
14
Bridge connections
37
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.
Implementations · 16 topics
Characteristics · 6 topics
Overview · 4 topics
Applications · 2 topics
History · 2 topics
Examples · 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.
Developer
Modelica Association Project (MAP)
Filename extensions
.mo
First appeared
1997
License
CC-BY-SA
OS
Cross-platform
Paradigm
Declarative language
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 Modelica 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 Modelica shows recurring relationship patterns in the source. For example, Modelica → AMESim, CAD, Canadian, CATIA, CATIA Systems, Commercial, Dassault Systèmes, Dymola, Dynasim AB, ESI ITI GmbH, French, German, Imagine SA, Its, JModelica, MapleSim, Maplesoft, MathModelica, Modelica-based, Modelon AB Another extracted example is Modelica → Association, Example, February, HTML, ISBN, Michael TillerFritzson, Michael TillerIntroduction, Modelica Association, Modelica Language Specification Version, Modelica Overview, Object-Oriented Modeling, PDF, Peter, Physical Modeling, Principles, Simulation, Wiley-IEEE Press. Use these groups to spot repeated connection types before inspecting the individual relationships.
Modelica
Top relations
related to Implementations· 32
Modelica → AMESim, CAD, Canadian, CATIA, CATIA Systems, Commercial, Dassault Systèmes, Dymola, Dynasim AB, ESI ITI GmbH, French, German, Imagine SA, Its, JModelica, MapleSim, Maplesoft, MathModelica, Modelica-based, Modelon AB
related to External links· 17
Modelica → Association, Example, February, HTML, ISBN, Michael TillerFritzson, Michael TillerIntroduction, Modelica Association, Modelica Language Specification Version, Modelica Overview, Object-Oriented Modeling, PDF, Peter, Physical Modeling, Principles, Simulation, Wiley-IEEE Press
related to history· 16
Modelica → Allan, Dymola, Hilding Elmqvist, In, In September, Modelica Association, Modelica Standard Library, NMF ObjectMath, Omola, PhD, September, SIDOPS, Smile, The, The Modelica, This
has application· 8
Modelica → BMW, Daimler, Ford, General Motors, In, OEMs, These, Toyota
related to Characteristics· 6
Modelica → First, In, Java, Second, The, While Modelica
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 105 structured relationships around Modelica. Examples in this analysis include Modelica → Developer → Modelica Association Project (MAP) and Modelica → Filename extensions → .mo. The table shows each extracted connection, where it came from and its confidence.
Subject
Predicate
Object
Confidence
Src
Modelica
Developer
Modelica Association Project (MAP)
1.00
infobox
Modelica
Filename extensions
.mo
1.00
infobox
Modelica
First appeared
1997
1.00
infobox
Modelica
License
CC-BY-SA
1.00
infobox
Modelica
OS
Cross-platform
1.00
infobox
Modelica
Paradigm
Declarative language
1.00
infobox
Modelica
Stable release
3.6 / March 9, 2023
1.00
infobox
Modelica
Website
www.modelica.org
1.00
infobox
Modelica
is a
object-oriented
0.90
text
Modelica
is a
modeling language rather than a conventional programming language
0.90
text
Modelica
is a
modeling of physical systems
0.90
text
Modelica
has application
In
0.60
section
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 Modelica bring nearby vocabulary together. In this analysis, examples include Modeling, Language and Simulation. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
Modelica
Modeling
Language
Simulation
Free
Systems
Association
Dymola
Non-profit
Software
Specification
Basic
Object-oriented
modelica
Modeling
Language
Simulation
Free
Systems
Association
Dymola
Non-profit
Software
Specification
Basic
Object-oriented
declarative
Basic
Object-oriented
Components
Model
Systems
Amesim
Maplesim
Simulationx
Also
Component
Connected
Connectors
modeling language
Association
Simulation
Non-profit
Object-oriented
Openmodelica
Modelica
Modeling
Free
Systems
Amesim
Maplesim
Simulationx
amesim
Maplesim
Simulationx
Dymola
Software
Specification
Association
Openmodelica
Physical
Systems
Declarative
Connectors
Language
modeling and simulation
Simulation
Object-oriented
Openmodelica
Free
Systems
Software
Dymola
Physical
Following
Example
Amesim
Maplesim
dymola
Maplesim
Simulationx
Software
Specification
Version
Openmodelica
Physical
Systems
Modelica
Modeling
Language
Non-profit
object-oriented
Systems
Models
Amesim
Maplesim
Simulationx
Simulation
Also
Connectors
Order
Association
Basic
Dymola
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 Modelica, one of the stronger structural bridges in this analysis connects Modelica with Implementations. 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.
Modelica
Nodes38
Edges37
Triples105
Avg. degree1.95
Density0.052632
Components1
Source & methodology
TTTA analyzes the structure around Modelica to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Characters, History, Applications & Measurement, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
