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Mathematical expressions can be understood and represented as a tree consisting of functions (non-leaf nodes) and their arguments (child nodes of function nodes). Such expression trees are an important concept to store and process mathematical expressions as well as the most frequently used visualization of the structure of mathematical expressions.
Typically, researchers visualize expression trees with the help of general purpose tools that are not optimized for mathematics. This approach is laborious, redundant if mathematical expressions are available in a structured markup, such as MathML, and error-prone, since the visualization represents a researcher’s notion of what the markup of an expression should be, but not necessarily what the actual markup is.
VMEXT is a tool to automatically visualize mathematical expression trees from parallel MathML. By visualizing the actual markup of mathematical expressions, VMEXT enables content providers to quickly spot problems in the content MathML markup that do not affect the presentation of the expression. Identifying such discrepancies previously required reading the verbose and complex parallel MathML markup. VMEXT also allows to visualize similar and identical elements of two expressions using arbitrary similarity measures. Visualizing expression similarity shall support developers in designing retrieval approaches and enable improved interaction concepts for users of mathematical information retrieval systems. The similarity visualization allows designers and users of such systems to inspect the reasoning of a similarity measure, rather than exclusively being provided with a scalar similarity score as is the case for most current retrieval systems.
You may install VMEXT using npm like so:
npm i && npm start.
Alternatively, you may use YARN which speeds up the installation and deployment processes, saves disk space by removing duplicate packages, and locks all package dependencies - not only the top level dependencies like npm does. For further information, see YARN
To install Yarn, follow the Installation Guide for your platform.
To install all dependencies, navigate to the project root and run:
After that, you can run the server using
To use use a local mathoid installation install mathoid locally from npm and change the mathoidUrl in the config.
To debug the app, use ChromeDevTools, run
yarn run debug and copy the link into a browser.
The lib directory contains a number of libraries we we developed to maintain a clean project structure.
To avoid long relative paths like
../../../lib/logger, we use the app-module-path package. The package adds the project's root directory to the require call. This allows you to require any module unsing a path starting relative to the project's root e.g
require('lib/logger'), eben in deeply nested project structures.
We use Capistrano for deployment.
To deploy (the master branch) type
cap production deploy.
For a simple rollback
cap production deploy:rollback