Euler/X: A toolkit for logic-based taxonomy integration
- Mingmin Chenc(Author),
- Shizhuo Yuc(Author),
- Nico Franzb(Author),
- ,
- Bertram Ludäscherc(Author)
- ,
- bSchool of Life Sciences,
- cUniversity of California, Davis
Research Output: Contribution to journal Conference article Peer-review
Open access
Abstract
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.