KRAFT – A Knowledge-Graph-Based Resource Allocation Framework

This repository contains the code for the paper of same name. Please refer to the paper for conceptual details.

The code in this repository implements an approach to resource allocation in business processes based on knowledge graph. The allocator is tied into the Business Process Optimization Competition 2023 (BPOC) simulation frame for resource allocation. The main entry point is the Demonstration Jupyter notebook.

Prerequisites & Setup

This project uses Python 3.10. The version is necessary for compatibility with the simulator frame.

First, clone this repository and navigate into the project folder. This repository additionally utilizes the Business Process Optimization Competition 2023 simulation frame. Please download the respective zip file from the official BPOC 2023 website and unpack it as subfolder of the cloned project folder.

We strongly recommend the usage of a virtual environment, e.g., with

python3.10 -m venv .venv

Then, please install the necessary Python libraries:

pip install -r requirements.txt -r requirements_bpoc.txt

You can from now on start the Jupyter notebook by running the following:

jupyter lab

Known Issues

• The simulator might get stuck by only appropriating resources that cannot run the currently open tasks. In that case, just rerun the simulation

External Files

This repository contains the BPI Challenge 2017 - clean.csv event log file retrieved from the bpoc project