# Supervised Ontology and Instance Matching with MELT

arXiv: https://arxiv.org/abs/2009.11102 · HTML: https://mlsanity.com/paper/2009.11102/

## Key facts

- Cited by 5 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 20 Sep 2020.

## Built on by (most cited first, 5 of 5)

- [Background Knowledge in Schema Matching: Strategy vs. Data](https://mlsanity.com/paper/2107.00001/) (2021)
- [FinMatcher at FinSim-2: Hypernym Detection in the Financial Services Domain using Knowledge Graphs](https://mlsanity.com/paper/2103.01576/) (2021)
- [Matching with Transformers in MELT](https://mlsanity.com/paper/2109.07401/) (2021)
- [KERMIT -- A Transformer-Based Approach for Knowledge Graph Matching](https://mlsanity.com/paper/2204.13931/) (2022)
- [An Embedding-based Approach to Inconsistency-tolerant Reasoning with Inconsistent Ontologies](https://mlsanity.com/paper/2304.01664/) (2023)

## Abstract (arXiv)

In this paper, we present MELT-ML, a machine learning extension to the Matching and EvaLuation Toolkit (MELT) which facilitates the application of supervised learning for ontology and instance matching. Our contributions are twofold: We present an open source machine learning extension to the matching toolkit as well as two supervised learning use cases demonstrating the capabilities of the new extension.