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Semantically Weighted Similarity Analysis for XML-based Content Components

License: MIT License

JavaScript 82.06% HTML 4.74% CSS 9.11% MAXScript 4.09%

semsim's Introduction

semsim - Semantically Weighted Similarity Analysis for XML-based Content Components

Implementation of the methods presented in the paper.

Related work can be found at the author's website: http://janoevermann.de

Dependencies

This demo is based on the project fastclass by the same author, which offers additional classification features (http//fastclass.de).

Example data

The example data used in the paper can be found at src/res/examples/

Run locally

To run a local version start a web server in the dist folder and navigate your browser to the location.

Build from source

To build from source you need to have the following tools globally installed:

  • npm (for development dependencies)
  • Bower (for frontend dependencies)
  • Gulp (for running the build)

Execute the following steps to set up the development environment (directory src)

  1. npm install
  2. bower install
  3. gulp

To generate a build for use in production (directory dist):

  1. gulp build

semsim's People

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