Ontology Matching

Graph Search Algorithm Based Prompt Generation for Ontology Matching.

Note: The repository consists of source codes of the paper "Exploring Prompt Generation utilizing Graph Search Algorithms for Ontology Matching" was accepted by EU Semantics 2024.

Folder Hierarchy

├── data
├── results
└── src
    ├── AlignmentFormat.py
    ├── accronyms.json
    ├── batch_loaders
    │   ├── alignment.py
    │   ├── ontology_parsing
    │   └── random_walk.py
    ├── config.json
    ├── configMatcher.json
    ├── configMatcherImport.py
    ├── globals.py
    ├── llms
    ├── maximum_bipartite_matching
    ├── prompt_template_generator
    ├── run_matcher.py
    ├── track.py
    ├── utilsODS.py
    └── verbalizer

Requirements

use Python version >=3.10

$ pip install -r requirements.txt

on macOS please run

$ python3 -m nltk.downloader stopwords

Dataset Folder:

update dataset paths at src/config.json

Configuration:

adjust the pipeline tasks and algorithm configurations at src/configMatcher.json

How to run

$ git clone https://github.com/JulianSampels/OntoMatch.git

download this file and extract it to src/verbalizer/graph2text/outputs/t5-base_13881/

$ cd src
$ python3 run_matcher.py

T-test

We conducted t-test with significance level 0.1 to evaluate the significance of the prompt types and algorithms. The results can be seen on t-testfolder.