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Semantic Machine Learning Impact Calculator (footprint calculation of machine learning models by using a Knoweldge Graph as a backend)

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Semantic Machine Learning Impact Calculator (SMLIC)

DOI

This repository includes the code and queries used to create atransparent emission calculator, together with a fully transparent emission report.

Demo: https://calculator.linkeddata.es/

The report includes information on the provenance information for the conversion factots and their applicability (temporal and spatial) as shown in the following picture:

Acknowledgemets

The UI of this calculator has been derived from the code published by the Machine Learning's CO2 Impact(MLIC) project.

Why is SMLIC different from MLIC?

SMLIC expands the MLIC by providing provenance information about the conversion factors shown in the UI by using the CF knowledge graph. It also represents in a machine-readable manner all the operations and calculations needed to produce an emission score, aligned with the PECO ontology.

Supported Browser

We have tested the Semantic Calculator in Google Chrome

JAVA Version

Minimum JAVA 11 is required to run this project.

External Dependencies

The following online resources must be available for the app to work:

Config

Application is set to run on port 3000 by default. To change the default port edit the port entry in application.yml

server:
  port : 3000

How to Run

git clone  https://github.com/TEC-Toolkit/Semantic_Machine_Learning_Impact_Calculator.git

then cd into the project directory and run

mvn spring-boot:run

Go to localhost:3000 and you should see the landing page of the Calculator

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Semantic Machine Learning Impact Calculator (footprint calculation of machine learning models by using a Knoweldge Graph as a backend)

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