We introduce Euler/X, a toolkit for logic-based taxonomy integration. Given two taxonomies and a set of alignment constraints between them, Euler/X provides tools for detecting, explaining, and reconciling inconsistencies; finding all possible merges between (consistent) taxonomies; and visualizing merge results. Euler/X employs a number of different underlying reasoning systems, including first-order reasoners (Prover9 and Mace4), answer set programming (DLV and Potassco), and RCC reasoners (PyRCC8). We demonstrate the features of Euler/X and provide experimental results showing its feasibility on various synthetic and real-world examples.
@article{arxiv.1402.1992,
title = {Euler/X: A Toolkit for Logic-based Taxonomy Integration},
author = {Mingmin Chen and Shizhuo Yu and Nico Franz and Shawn Bowers and Bertram Ludäscher},
journal= {arXiv preprint arXiv:1402.1992},
year = {2026}
}