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:
KG's Taxonomy
Taxonomical Hinge
Contact
To report issues, use GitHub Issues. For other queries, contact Francesco Sovrano: