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Data Mapping Tool

This repository is the backend part of the Data Mapping Tool Project.

The project aims to make friendly the process of mapping data using a single ontology or multiple ones. In our case, the project uses the BIGG ontology as background.

Getting Started

Prerequisite

  • Python 3.8+ 🐍
  • MongoDB

If you do not have a MongoDB, you can deploy it using docker-compose up -d.

Install Python Dependencies

pip install -r requirements.txt

Run Server

flask run --host=[localhost] --port=[port]

File Format: .env

FLASK_APP=app
FLASK_ENV=[development | production]

SECRET_KEY=
SERVER_HOSTNAME=
SERVER_PORT=

JWT_SECRET_KEY=
JWT_ACCESS_TOKEN_EXPIRES=
JWT_REFRESH_TOKEN_EXPIRES=

MONGO_URI=

ADMIN_EMAL=
ADMIN_PASSWORD=

¿ How to Generate Secret Key ?

$ python -c 'import secrets; print(secrets.token_hex())'
'192b9bdd22ab9ed4d12e236c78afcb9a393ec15f71bbf5dc987d54727823bcbf'

Ontology

The ontology that the backend use is located in ontology.owl, in this file you can put yours ontology. By default, it uses the RDF/XML Syntax format to represent our ontology.

Transformations

YARRRML

YARRRML Parser

docker pull rmlio/yarrrml-parser

docker run --rm -it -v $(pwd)/:/data rmlio/yarrrml-parser:latest -i /data/input.yml -o /data/mapping.ttl

RML Mapper

docker pull rmlio/rmlmapper-java

docker run --rm -v $(pwd)/:/data rmlio/rmlmapper-java  -m mapping.ttl -o /data/out.rdf