Mathematical Markup Language (MathML) Version 3.0

By P. Ion, Robert R. Miner, Ron Ausbrooks, S. Buswell, D. Carlisle, Giorgi Chavchanidze, Stéphane Dalmas, Stan Devitt, A. Díaz, S. Dooley and 11 more. The Web Conference, 2001

298 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/e41de36724aaeafec096239ce96e1e66d0c80501

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Padraig Gleeson
2. Mélanie Courtot
3. Guy O. Billings
4. S. Crook
5. C. Lloyd
6. Darren J. Wilkinson
7. N. Juty
8. Nicolas Rodriguez

Citations in the corpus

• Recognition and retrieval of mathematical expressions (2011, background): “Present-day query languages for mathematical information retrieval are text-based, influenced by LATEX, MathML [10], and OpenMath [37,148].”
• Controlled vocabularies and semantics in systems biology (2011, methodology): “The concepts are related through ontological subsumption relationships (subclassing), as well as via mathematical constructs expressed in the Mathematical Markup Language (MathML) Version 2 (Ausbrooks et al , 2003).”
• NeuroML: A Language for Describing Data Driven Models of Neurons and Networks with a High Degree of Biological Detail (2010, methodology): “SBML [30], CellML [31], BrainML [41] and MathML [42].”
• An Overview of CellML 1.1, a Biological Model Description Language (2003, methodology): “MathML [3] is used to encode the mathematics of the model, XLink [4] is used to establish the connection between the original model and the importing model, and background information, or metadata, is included via RDF [5].”