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Mathematical Markup Language (MathML) is a pair of mathematical markup languages, an application of XML for describing mathematical notation and capturing both its structure and content. Its aim is to natively integrate mathematical formulae into World Wide Web pages and other documents. It is part of HTML5 and standardised by ISO/IEC since 2015.
The analysis highlights Standards, History and Art as prominent areas in the source structure around MathML.
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 MathML shows recurring relationship patterns in the source. For example, MathML → An, Another, April, August, Chromium, CSS, CSS Profile, February, In June, June, MathML Working Group, New, November, October, On, OpenMath, Other, Proposed Recommendation, Recommendation, Strict Content MathML Another extracted example is MathML → Angel Diaz, Azzeddine Lazrek, Bruce Miller, Bruce Smith, Chris Rowley, David Carlisle, Giorgi Chavchanidze, Michael Kohlhase, Murray Sargent, Neil Soiffer, Patrick Ion, Paul Libbrecht, Robert Miner, Robert Sutor, Roger Hunter, Ron Ausbrooks, Ron AusbrooksStephen BuswellDavid CarlisleGiorgi ChavchanidzeStéphane DalmasStan DevittAngel DiazSam DooleyRoger HunterPatrick IonMichael KohlhaseAzzeddine LazrekPaul LibbrechtB…, Sam Dooley, Stan Devitt, Stephen Buswell. 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.
content xml elements openmath mathematical markup opendocument html presentation math used w3c recommendation version example element using office also language
TTTA extracted 189 structured relationships around MathML. Examples in this analysis include MathML → Abbreviation → MathML and MathML → Authors → Ron AusbrooksStephen BuswellDavid CarlisleGiorgi ChavchanidzeStéphane DalmasStan DevittAngel DiazSam DooleyRoger HunterPatrick IonMichael KohlhaseAzzeddine LazrekPaul LibbrechtB…. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| MathML | Abbreviation | MathML | 1.00 | infobox |
| MathML | Authors | Ron AusbrooksStephen BuswellDavid CarlisleGiorgi ChavchanidzeStéphane DalmasStan DevittAngel DiazSam DooleyRoger HunterPatrick IonMichael KohlhaseAzzeddine LazrekPaul LibbrechtB… | 1.00 | infobox |
| MathML | Authors | Ron Ausbrooks | 1.00 | infobox |
| MathML | Authors | Stephen Buswell | 1.00 | infobox |
| MathML | Authors | David Carlisle | 1.00 | infobox |
| MathML | Authors | Giorgi Chavchanidze | 1.00 | infobox |
| MathML | Authors | Stéphane Dalmas | 1.00 | infobox |
| MathML | Authors | Stan Devitt | 1.00 | infobox |
| MathML | Authors | Angel Diaz | 1.00 | infobox |
| MathML | Authors | Sam Dooley | 1.00 | infobox |
| MathML | Authors | Roger Hunter | 1.00 | infobox |
| MathML | Authors | Patrick Ion | 1.00 | infobox |
| MathML | Authors | Michael Kohlhase | 1.00 | infobox |
| MathML | Authors | Azzeddine Lazrek | 1.00 | infobox |
| MathML | Authors | Paul Libbrecht | 1.00 | infobox |
| MathML | Authors | Bruce Miller | 1.00 | infobox |
| MathML | Authors | Robert Miner | 1.00 | infobox |
| MathML | Authors | Chris Rowley | 1.00 | infobox |
| MathML | Authors | Murray Sargent | 1.00 | infobox |
| MathML | Authors | Bruce Smith | 1.00 | infobox |
| MathML | Authors | Neil Soiffer | 1.00 | infobox |
| MathML | Authors | Robert Sutor | 1.00 | infobox |
| MathML | Authors | Stephen Watt | 1.00 | infobox |
| MathML | Base standards | XML | 1.00 | infobox |
| MathML | Committee | W3C Math Working Group | 1.00 | infobox |
| MathML | Committee | ISO/IEC JTC 1 | 1.00 | infobox |
| MathML | Editors | David Carlisle | 1.00 | infobox |
| MathML | Editors | Patrick Ion | 1.00 | infobox |
| MathML | Editors | Robert Miner | 1.00 | infobox |
| MathML | Editors | Frédéric Wang | 1.00 | infobox |
The concept neighborhoods around MathML bring nearby vocabulary together. In this analysis, examples include Xml, Presentation and Openmath. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For MathML, one of the stronger structural bridges in this analysis connects MathML with Presentation and semantics. 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 MathML to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Standards, History & Art, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — MathML · EN edition · Analysis: TopicsToTalkAbout