Automated classification and modularization for technical documentation.
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fastclass - Demo for SEMANTiCS 2017

This repository contains the prototypical implementation of the ideas presented in the submitted paper: Semantic Annotation of Heterogeneous Data Sources: Towards an Integrated Information Framework for Service Technicians.

It covers the code for the automated classification and modularization of technical documentation. The demo provides a web interface for the training of models from data (XML, JSON, FCM), the classification of content components (XML, JSON) and the segmentation of unstructured documents (PDF). Alternatively demo data can be loaded into the application.

The implementation is based on previous work available at:

Hosted demo

A hosted demo is available at:

Run demo locally

To run a local version of the demo:

  1. clone the repository
  2. navigate to directory app
  3. build from source (see below)
  4. start a web server in the dist folder
  5. navigate your browser to the location

Build from source

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

Execute the following steps to set up the development environment (in directory app). A build will be automatically generated into dir.

  • npm install

To generate a new build from source into dir:

  • gulp build