AgreementMakerDeep OAEI 2021

1. Introduction

   AgreementMakerDeep (AMD) is a new ontology matching system inspired by AgreementMaker, AgreementMakerLight(AML) and BootEA. This year is the first time that AMD participates in OAEI. It is designed with the main goal of higher efficiency for ontology matching problems by applying knowledge graph embedding methods.

2. Requirements

   numpy==1.19.5

   tensorflow==1.14.0

   Owlready2==0.33

   tqdm==4.62.2

   six==1.15.0

   fuzzywuzzy==0.18.0

   beautifulsoup4==4.9.3

3. Usage

   If any changes to the model, then use MELT to wrapped and evalute.

Reference

If you find this repo useful, please consider citing and star this repo:

@inproceedings{wang2021agreementmakerdeep,
  title={AgreementMakerDeep results for OAEI 2021.},
  author={Wang, Zhu and Cruz, Isabel F},
  booktitle={OM@ ISWC},
  pages={124--130},
  year={2021}
}

and

@inproceedings{wang2022amd,
  title={AMD results for OAEI 2022.},
  author={Wang, Zhu},
  booktitle={OM@ ISWC},
  pages={145--152},
  year={2022}
}