Legal Knowledge Extraction for Knowledge Graph Based Question-Answering

Extra documentation (knowledge graph, images, etc..) of the paper "Legal Knowledge Extraction for Knowledge Graph Based Question-Answering".

Usage and Installation

This project has been tested on Debian 9 and macOS Mojave 10.14 with Python 3.7.9. The web_app folder contains the code of the answer retriever. The web_app/setup.sh script installs the software. To run the web app, execute the following command ./web_app/server.sh port_num where port_num is the number of the port. After running the "server.sh" script, you can access the web app through your browser at http://localhost:port_num (remember to replace the string port_num with the correct port number you have chosen).

N.B. Before being able to run the setup.sh scripts you have to install: virtualenv, python3-dev, python3-pip and make.

Files

• The whole Knowledge Graph in graphml format
• The Taxonomy within the Knowledge Graph
• The ontological hinge obtained by aligning the Ontology Design Patterns to the Taxonomy

Sources

The Knowledge Graph has been extracted from:

• Rome I Regulation EC 593/2008
• Rome II Regulation EC 864/2007
• Brussels I bis Regulation EU 1215/2012

KG's Taxonomy

Taxonomical Hinge

Contact

To report issues, use GitHub Issues. For other queries, contact Francesco Sovrano:

• francesco.sovrano2@unibo.it
• cesco.sovrano@gmail.com