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MathType is a software application created by Design Science that allows the creation of mathematical notation for inclusion in desktop and web applications.
The analysis highlights Science, Features and Overview as prominent areas in the source structure around MathType.
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 MathType shows recurring relationship patterns in the source. For example, MathType → Apple, AppleWorks, As, Design Science, Equations, In, Mac, Microsoft Office, Microsoft Word, OLE, On Windows, OpenOffice, There, Windows, Word Another extracted example is MathType → LaTeX, MathML, Microsoft Word, TeX, This, WYSIWYG. 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.
equations design science editor equation microsoft software web also applications windows latex supports may application wiris version typeset ole mac
TTTA extracted 51 structured relationships around MathType. Examples in this analysis include MathType → Available in → English, French, German, Japanese, Chinese and Croatian and MathType → Developer → Design Science. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| MathType | Available in | English, French, German, Japanese, Chinese and Croatian | 1.00 | infobox |
| MathType | Developer | Design Science | 1.00 | infobox |
| MathType | License | Trialware | 1.00 | infobox |
| MathType | Operating system | Microsoft Windows macOS | 1.00 | infobox |
| MathType | Release | June 23, 1987; 39 years ago (1987-06-23) | 1.00 | infobox |
| MathType | Stable release | 7.11.1.462 / January 22, 2026; 7 months ago (2026-01-22) | 1.00 | infobox |
| MathType | Type | Formula editor | 1.00 | infobox |
| MathType | Website | https://www.wiris.com/en/mathtype/ | 1.00 | infobox |
| MathType | is a | software application created by Design Science that allows the creation of mathematical notation for inclusion in desktop and web applications.After Design Science was acquired… | 0.90 | text |
| LaTeX where equations are entered as markup in a text editor | instance of | This contrasts to document markup languages | 0.80 | text |
| then processed into a typeset document as a separate step.MathType also supports the math markup languages TeX | instance of | This contrasts to document markup languages | 0.80 | text |
| MathML | instance of | This contrasts to document markup languages | 0.80 | text |
The concept neighborhoods around MathType bring nearby vocabulary together. In this analysis, examples include Design, Science and Supports. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For MathType, one of the stronger structural bridges in this analysis connects MathType with Features. 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 MathType to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Science, Features & Overview, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — MathType · EN edition · Analysis: TopicsToTalkAbout