MDMapper Results for OAEI 2024

This paper presents the results of the participation of MDMapper [1] in OAEI 2024. The tool MDMapper is a matching system under development, designed mainly for master data models, but it also supports simple ontology matching tasks. Master data models are typically simple hierarchical classification system, where basic concepts have rich descriptions involving types and units, for example. The tool combines mature ontology matching techniques with newly proposed methods. In particular, MDMapper combines string-based and transformer-based similarity measures to compute an overall similarity matrix. It initially identifies high confidence correspondences (c₁, c₂, =) (reads: “c₁ and c₂ are equivalent”) and then progressively discovers new correspondences while reducing the matching space using a novel conflict-based restriction management approach. As a first-time participant of OAEI, MDMapper participated in the Anatomy, Conference, and Multifarm tracks.