Concept-Map-Generator

Term Project for Language Processing for E-Learning

This work was done as part of a mini project for the course on Language Processing for E-Learning under the guidance of Professor Plaban Bhowmick.

It makes use of the DBpedia Spotlight Web API to extract important concepts from a given text and then uses OpenIE to extract relations. Visualisation is done using GraphViz.

This work uses the python wrapper for Stanford OpenIE written by philipperemy.

Usage

First of all, make sure Java 1.8 is installed. Open a terminal and run this command to check:

java -version

If this is not the case and if your OS is Ubuntu, you can install it this way:

sudo add-apt-repository ppa:webupd8team/java
sudo apt-get update
sudo apt-get install oracle-java8-installer

Note: Make sure GraphViz is installed beforehand. Try to run the dot command to see if this is the case. If not, run sudo apt-get install graphviz if you're running on Ubuntu.

How to use: Paste your desired input text in place of 'Your Text'

git clone https://github.com/philipperemy/Stanford-OpenIE-Python.git
git clone https://github.com/PranavKhadpe/Concept-Map-Generator.git
cp Concept-Map-Generator/{main2.py,conceptmap.py} Stanford-OpenIE-Python
cd Stanford-OpenIE-Python
echo Your Text > test.txt
python conceptmap.py -i test.txt
python main2.py -f test.txt -g

Will generate a GraphViz DOT graph and its related PNG file in /tmp/openie/

Example

Sample map generated for elementary paragraph on Photosynthesis