Workflow for linking External datasets
This project proposal presents an approach for ontology alignment through the use of an unsupervised mixed neural network.
About the Project
In this workflow, we will explore reading and parsing the ontology and extracting all necessary information about concepts and instances, generating semantic vectors for each entity with different meta information like entity hierarchy, object property, data property, and restrictions and designing User Interface based system which will show all necessary information about the workflow.
- The project requires following tools to run:
docker: Installation instructions for ubuntu can be found here.
docker-compose: can be installed using
pip3 install docker compose
- Clone the repository
git clone https://github.com/dbpedia/linking.git.
- Before starting the application, please make sure there is enough space (atleast - 15GB Harddisk) and docker with memory atleast (free memory 10GB) are available.
- Deploy the application by following the steps in setup guide.
The wiki for this project can be found here.